For decades, industrial cybersecurity rested on a comfortable assumption: operational technology (OT) was protected by physical isolation. The "air gap" guaranteed that power grids, manufacturing lines, and water systems remained safely disconnected from the chaos of the public internet.

That assumption is no longer just outdated - it is a strategic liability.

Driven by the imperative for real-time efficiency, predictive maintenance, and AI-led automation, industrial operations are integrating with enterprise IT and cloud environments at an unprecedented scale. Telemetry from Palo Alto Networks reveals a 332% surge in unique internet-exposed OT devices and services, bringing nearly 20 million OT-related assets onto the public internet.

Digital transformation has fundamentally redrawn the perimeter. What was once an engineering challenge managed on the plant floor has transformed into an existential risk that demands board-level oversight.

Every Industrial Asset Is Now a Digital Asset

Modernizing critical infrastructure is rarely framed as a security initiative; it is an operational mandate. Heavy machinery engineered to last thirty years is now instrumented with IoT sensors, managed through cloud-native platforms, and remotely monitored.

This connectivity creates tight dependencies between core business IT and physical operations. Modern industrial facilities rely on enterprise identity management, cloud telemetry, and continuous software updating to function day to day.

Consequently, a threat actor does not need to breach the factory floor to stop production.

When an enterprise IT network suffers an incident, executive leadership often initiates a manual shutdown of operational lines out of caution or because shared authentication mechanisms become unavailable. The business processes linking enterprise IT and OT have become functionally inseparable.

The Anatomy of Modern Industrial Threats

Attackers no longer require sophisticated, state-sponsored zero-day exploits to disrupt physical infrastructure. As seen in recent cyber incidents targeting municipal water systems in the US and the breach of a Polish power plant, threat actors continuously exploit basic internet exposure, unpatched vulnerabilities, weak default credentials, and unsegmented remote connections.

Threat dynamics across critical infrastructure have shifted toward two major vectors:

• Low-Friction Initial Access: Basic internet discovery tools allow threat actors to identify exposed control systems and programmable logic controllers (PLCs) in minutes. Weak factory default passwords or unsegmented cellular modems provide direct entry points into physical operations.
• Operational Blindness: Modern attacks deliberately target the reporting layer - such as HMI and SCADA interfaces - to suppress alarms and present "normal" operational telemetry to engineers, even while underlying physical processes operate dangerously out of specification.

Operational Realities and the Zero Trust Imperative

The integration of artificial intelligence and automated workflows into industrial environments accelerates this challenge. Beyond human engineers logging into control networks, automated software pipelines, third-party monitoring platforms, and autonomous AI agents are executing commands within OT environments.

Data from recent identity landscape research reveals that machine identities outnumber human identities by 109 to 1 across EMEA organizations.

In an environment populated by millions of interconnected human, machine and AI actors, implicit trust based on network location is dangerous. Applying Zero Trust to OT requires moving away from traditional perimeter defense toward continuous, explicit verification:

• Verify Explicitly: Authenticate and authorize every access request - human or machine - regardless of where the request originates.
• Enforce Least-Privilege Access: Limit access strictly to the assets and commands necessary for a specific operational role or process.
• Assume Breach: Design networks under the assumption that enterprise systems are compromised, preventing lateral movement into physical control layers.

The Industrial "Red Button": Engineering for Containment

While IT security prioritizes data confidentiality, OT security prioritizes human safety, system availability, and operational continuity. Halting a processing facility or energy grid carries immediate financial, environmental, and regulatory consequences. Security controls designed for corporate office networks cannot simply be retrofitted onto plant floors.

Cyber resilience is measured not merely by prevention, but by limiting the blast radius when a breach occurs.

Leading industrial organizations are establishing a programmable "Red Button" capability - a combination of architectural micro-segmentation and automated playbooks. This architecture allows security teams to rapidly isolate critical physical operations from compromised IT networks or cloud dependencies without bringing production to a complete halt.

Five Strategic Actions for Executive Boards

With regulatory frameworks like NIS2 increasing direct accountability for senior leadership, OT cybersecurity requires strategic governance centered on comprehensive visibility, robust micro-segmentation, operational risk scoring, and virtual patching:

• Establish Complete Asset Visibility: Eliminate dark corners across physical environments. Organizations must maintain a continuous, real-time inventory of every connected industrial asset, controller, and external dependency.
• Embed Security by Design and Virtual Patching: Integrate cybersecurity requirements directly into industrial modernization programs from initiation. Deploy virtual patching mechanisms - such as Frontier Virtual Patching - to shield unpatchable legacy systems against rapidly evolving AI-driven threats.
• Architect for Degraded Mode: Design critical infrastructure to maintain safe, baseline operations even if cloud access, enterprise IT, or external network connections are severed.
• Practice Operational Recovery: Develop and stress-test incident response playbooks specifically designed for physical environments, including offline configuration backups and manual operational overrides.
• Unify Risk Governance: Align executive leadership, security operations, and plant engineering around operational-based risk scoring and shared business metrics: physical safety, system uptime, and operational continuity.

Accelerating digital transformation should not mean compromising physical safety or operational stability. Palo Alto Networks provides an integrated platform built to address the unique constraints of operational environments. By combining AI-driven asset discovery, granular micro-segmentation, continuous risk assessment, and virtual patching across both enterprise IT and physical control networks, Palo Alto Networks empowers industrial organizations to modernize with confidence - securing operations, protecting revenue, and safeguarding national infrastructure.

Further interesting reading:

• ‘Complexity at the intersection of IT and OT’ – Executive Edge Peer Guide  
• A CISO’s guide to navigating OT & IT convergence in the manufacturing industry

The post Why OT Resilience Is Now a Boardroom Imperative appeared first on Palo Alto Networks Blog.

AI agents are crossing an important threshold.

They are moving from assistants that respond to us to autonomous systems that reason, plan, and act on our behalf. They can write and execute code, access enterprise data, call tools and APIs, and keep working toward a goal with limited human intervention.

That changes the security model.

An autonomous agent is designed to find a way to accomplish its objective. If one path is blocked, it reasons about another. That is what makes agents powerful, and it is why models’ built-in prompt guardrails alone are not enough.

The harness can guide what an agent should do. Security must control what an agent can do. That requires security authority outside the agent itself.

Palo Alto Networks and NVIDIA Team Up to Secure Agentic AI

NVIDIA provides the accelerated computing platform, secure runtime foundation, and reference system design for agentic AI. Palo Alto Networks brings the AI security capabilities enterprises need to govern interactions, protect workloads, and control identity and access.

Together, we are extending security across three areas: AI governance with Prisma AIRS AI Gateway, runtime protection with Prisma AIRS AI Runtime Security, and Agent Identity Security powered by IDIRA.

This is the focus of our expanded collaboration with NVIDIA on the NVIDIA Open Agent Safety Platform reference design.

a) Prisma AIRS AI Gateway on NVIDIA Vera CPU

Our forward-looking architecture includes Prisma AIRS AI Gateway software running on NVIDIA Vera CPU systems, bringing AI governance and enforcement closer to infrastructure designed for agentic workloads.

The AI Gateway is the real-time enforcement point for AI Governance, Runtime, and Identity security. It continuously verifies agent identities, enforces strict least-privilege access, redacts sensitive data before it is exposed, and deeply inspects every interaction—stopping unauthorized actions before they ever reach critical host systems or cloud endpoints.

• Operationalize AI agents: Connect applications and agents to thousands of models and tools through one control point, with the reliability and flexibility to scale AI across the enterprise.
• Track usage and control costs: Monitor every AI interaction across your company to see exactly what teams are doing, track your spending, and restrict access to approved tools only.
• Enforce agent security across the enterprise: Block sensitive data exposure and malicious commands in real time, and verify agent identity before actions are taken.

b) Announcing Prisma AIRS AI Runtime Security on NVIDIA BlueField

The Palo Alto Networks AI Runtime firewall running natively on NVIDIA BlueField DPUs extends Zero Trust protection to the front-end network traffic of the AI factory and to the AI Edge, creating a tamper-proof boundary immune to application-layer attacks. Drawing on the NVIDIA Sentry reference design, Prisma AIRS AI Runtime Security accelerated on NVIDIA BlueField delivers: 

• Hardware-Isolated Boundaries: Tamper-proof boundary, ensuring a compromised model or a rogue agent can never bypass runtime controls.
• Agentless Behavioral Introspection: Monitor agent execution paths, memory structures, and tool calls with NVIDIA DOCA Argus with zero CPU overhead, and feed real-time telemetry directly into Cortex XSIAM for automated observation, analysis, and remediation.
• Zero Trust Governance: Strict least-privilege access is enforced across the network and external APIs by default, delivering a verifiable audit trail for every allow and block action.

c) IDIRA Agent Identity Security

As agents gain greater autonomy, identity becomes fundamental to controlling what they can access and what actions they can take.

Looking ahead, we plan to integrate NVIDIA OpenShell with upcoming Agent Identity Security capabilities from Idira, including identity and secrets management for the OpenShell sandbox and agent identity broker service on NVIDIA BlueField. This will help organizations apply identity-based controls and least-privilege access to agents without relying on persistent human credentials.

The Path Ahead: Security at Scale for Enterprise Agents

As agents become more autonomous, governance must extend to identity. Prisma AIRS AI Gateway will also serve as an enforcement point for Agent Identity Security powered by IDIRA. We are also expanding to include Agent Identity Broker support directly on NVIDIA BlueField, providing identity verification and access governance independently of the host environment.

Together, these capabilities are designed to prevent unauthorized execution, reduce standing access, and stop privilege escalation as agents interact with enterprise systems.

As agents gain more autonomy, enterprises need consistent control over how they connect and what they can access.

Our work with NVIDIA brings those controls closer to where agentic workloads run, while Palo Alto Networks provides the security policy, governance, and enforcement enterprises need to manage them. 

To learn more about our GA of AI Runtime Security on the BlueField DPU, read our blog — Palo Alto Networks Announces Support for NVIDIA Enterprise AI Factory.

The next phase of AI will be defined not only by what agents can do, but by whether enterprises can trust them to operate safely at scale.

Palo Alto Networks was named a Market Shaper in AI application security. Read the report: Gartner® Emerging Market Quadrant for AI Application Security – Established Vendors, September 2026.

The post Securing AI Agents at Scale with NVIDIA appeared first on Palo Alto Networks Blog.

Cybersecurity is in the middle of a generational shift. AI has disrupted a 30-year balance of power between defenders and adversaries.

Armed with agentic AI tools and open-weight models stripped of safety guardrails, threat actors are discovering, validating, and chaining exposures at machine speed. In a recent Unit 42 investigation, the attacker used more than 50 MITRE ATT&CK techniques to reduce weeks of methodical intrusion tradecraft into less than 10 hours—97% faster than a skilled red team could have done. Time-to-exfiltration has compressed to under an hour in real-world attacks. And when new CVEs are publicly disclosed, automated adversary scanners are weaponizing them within 15 minutes.

Defending at human speed is no longer viable. Organizations must close years of accumulated exposure while securing the AI they are rapidly adopting. That demands action on five fronts: continuously find and fix vulnerabilities, reduce exposure, secure AI infrastructure, unify attack prevention, and automate detection and response at machine speed.

Today, we are announcing Unit 42 Continuous Frontier AI Defense to put the first two priorities into practice. Powered by Anthropic's Mythos models and OpenAI's latest GPT cyber models, this always-on, agentic service combines our offensive security experts with proprietary multi-model harnesses to discover vulnerabilities, validate real-world exploitability, and accelerate remediation across applications, identities, cloud infrastructure, and network assets.

Led by our offensive security experts, this service discovers, validates and remediates exposures before they can be exploited. We use proprietary AI harnesses and gated capability models—powerful models restricted from public use—to discover vulnerabilities, prove real-world exploitability, and accelerate remediation across applications, identities, cloud infrastructure, and network assets as an organization’s environment changes.

Continuous Frontier AI Defense builds on Unit 42’s Frontier AI Defense, which launched in April and introduced Frontier AI Exposure Analysis, a point-in-time exposure analysis, and a security blueprint that benchmarks current capabilities to help organizations modernize their cybersecurity systems. In August, Unit 42 expanded the list of frontier AI models to include  OpenAI’s GPT-5.6-Cyber and Anthropic's Claude Mythos 5, giving organizations access to additional AI capabilities.

A Single AI Model Is Not a Security Strategy

Frontier models are powerful, but no single AI model is a cybersecurity silver bullet and the models require equally powerful AI scanning harnesses.

Unit 42 research evaluation of model performance across enterprise codebases and live environments revealed two stark operational realities:

• Coverage caps: No single AI model catches more than 40% of vulnerabilities in a complex environment.
• Visibility: Leading cyber models such as Anthropic Claude Mythos 5 and OpenAI GPT-5.6-Cyber have less than 10% overlap in the exposures they identify.

To solve the single model gaps, Continuous Frontier AI Defense runs on proprietary multi-model harnesses. These harnesses act as an intelligent orchestration layer, routing specific offensive testing tasks to the model best suited for the job. This approach aligns model strengths, eliminates individual gaps, and keeps compute spend economical.

We combine these frontier models with Unit 42 threat intelligence, and frontline security expertise to turn raw vulnerability data into verified, actionable protection. Zero Data Retention (ZDR) architectures protect enterprise source code and telemetry, so customer data is never retained or used to train public models.

What Happens When AI Meets Real Enterprise Architecture

We did not build this service on theoretical assumptions. We built and validated it internally  across Palo Alto Networks and across more than 100 customer engagements.

During our internal deployment, continuous Mythos-based scanning achieved over a year’s worth of traditional penetration testing results in just three weeks. The harness identified 3.2 times more high and critical vulnerabilities per product than legacy testing methods, and helped engineering teams cut mean time to remediate by 51%.

When we executed the service across customer environments, the frontline data delivered a clear warning:

• Hidden exposures: In third-party applications, two out of three validated exposures had no known CVE. Vulnerability-only scanners will never see them.
• High severity: 37% of identified exposures rated high or critical in severity.
• Chained attack paths: Flaws rarely existed in isolation. In one financial sector engagement, our harness identified a sequence of individually minor flaws: an application payment link that failed to re-verify identity, a skipped one-time password check, and a session routing flaw. Chained together, an attacker could achieve complete account takeover and payment fraud without any victim action.

Moving from Discovery to Validated Protection

Finding weaknesses without fixing them only creates noise. And, security teams do not lack findings; they already have more alerts than they can act on. The bigger challenge is knowing which weaknesses an attacker can actually exploit and chain into a viable path to compromise, and then remediating them.

Unit 42 Continuous Frontier AI Defense translates findings directly into risk reduction:

• Continuous Testing Engine: Provides a full-estate baseline scan followed by always-on testing as an organization’s environment changes.
• Multi-Model AI Harness: Unit 42 deploys proprietary multi-model harnesses, the software architecture to route work to the model best suited for the task, improving efficacy and coverage while managing the cost of frontier AI at scale.
• Leading Cyber Models: The harnesses are built around gated capability models, including Anthropic Claude Mythos 5 and OpenAI GPT-5.6-Cyber, as well as open weight models. 
• Advanced Adversary Simulation: Proves real-world exploitability by validating end-to-end attack paths across first- and third-party web apps, APIs, cloud infrastructure, source code repositories, and network assets.
• Accelerated Remediation: Delivers actionable and prioritized fixes, code-level guidance, and virtual patch recommendations. To implement virtual patches before vulnerabilities are publicly disclosed or official patches exist, organizations can pair this with Frontier Virtual Patching. 

Unit 42 Continuous Frontier AI Defense is available worldwide today on an annual subscription basis. Register for our upcoming virtual Threat Briefing to see how we apply Frontier AI, our proprietary multi-model harness, and offensive security expertise to protect Palo Alto Networks and our customers.

To learn more about Unit 42 Continuous Frontier AI Defense, register for the upcoming Virtual Threat Briefing here.

The post Introducing Unit 42 Continuous Frontier AI Defense appeared first on Palo Alto Networks Blog.

Palo Alto Networks Named a Market Shaper in 2026 September Gartner^® Emerging Market Quadrant for AI Application Security — Established Vendors.

When we set out to solve AI security, we knew it was an audacious challenge to take on. Securing AI Coding, which I wrote about last week, is one example of how we are tackling this multidimensional problem. 

Today marks yet another major milestone in that journey. I am so proud to share that Palo Alto Networks has been recognized as a ‘Market Shaper’ in the September 2026 Gartner^® Emerging Market Quadrant for AI Application Security – Established Vendors. 

 

To us, this recognition reflects our core commitment to help organizations address all emerging AI use cases: securing AI coding, enterprise AI applications and governing autonomous agents, through a unified approach. 

What Modern Enterprise AI Security Requires

Artificial intelligence is fundamentally changing how enterprise software is built, how digital experiences are delivered, and how work gets done.

In the report, Gartner defines ‘Market Shapers' as those that are building comprehensive platforms by acquiring innovative companies and introducing centralized management tools for AI workflows. They are also expanding traditional security capabilities into broader agent-based controls, using advanced access control and runtime monitoring to secure agentic actions.

We believe our position as a ‘Market Shaper’ reflects four core capabilities we provide through our AI Security Platform, Prisma AIRS for effective enterprise AI security today:

• Secure AI Coding: Gain visibility into coding agents, extensions, skills, models and MCP servers, assess the artifacts they rely on, and establish controls over data, identity and agent actions. 
• Secure Enterprise AI Applications: Reduce risk across the AI application lifecycle, from models and components to testing and runtime interactions. This helps organizations build and deploy AI faster while safeguarding sensitive data and business-critical applications.
• Govern Agent Actions: Maintain control and accountability as autonomous agents interact with enterprise data, tools and systems. Clear identities and permissions help reduce unauthorized activity and contain unintended behavior.
• Accelerate AI Adoption Without Losing Control: Scale AI with consistent governance across coding, enterprise applications and autonomous agents. Maintain centralized control over access, usage and spend, through an AI Gateway. 

Defending the AI Frontier Requires a Platform

AI coding agents, enterprise AI applications and autonomous agents may look like separate security problems. In practice, they increasingly depend on the same models, data, identities, tools and infrastructure. Attempting to secure each one with its own isolated point product only creates fragmentation at the exact point when enterprises need greater visibility and control

This is why we built Prisma AIRS, as the comprehensive AI security platform. It gives security teams a unified approach to discover AI, assess risk, protect runtime interactions, control agent identity and access, and govern connections to enterprise data and systems.

The goal is not to slow AI adoption. It is to give developers and business teams the freedom to use AI while giving security teams the visibility and control they need.

Read the research report to learn more: Gartner® Emerging Market Quadrant for AI Application Security – Established Vendors, September 2026.

Ready to take the next step: Schedule an AI Security Demo / Briefing 

 

Disclaimer

Source: Gartner, Emerging Market Quadrant for AI Application Security – Established Vendors, September 2026.

Gartner is a trademark of Gartner, Inc., and/or its affiliates.

Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.

The post Defining the Standard for AI Security appeared first on Palo Alto Networks Blog.

Palo Alto Networks has achieved FedRAMP Moderate authorization for Quantum-Safe Security (QSS), a turnkey Automated Cryptography Discovery and Inventory (ACDI) solution. With this certification, federal agencies can deploy QSS immediately.  The authorization demonstrates that QSS meets stringent security requirements, enabling federal agencies to adopt cutting-edge technologies while safeguarding sensitive, unclassified data. QSS removes operational roadblocks by making cryptographic discovery, risk assessment and transition both continuous and actionable.

Accelerating Mandates for PQC Transition

Executive Order 14412 and OMB Memorandum M-26-15 have moved federal transition milestones well ahead of the original 2035 target. Federal agencies must now transition High Value Assets (HVA) and  high  impact  systems to post-quantum cryptography (PQC) for:

• Key establishment: By December 31, 2030
• Digital signatures: By December 31, 2031

Meeting these compressed timelines demands upgrading from static, manual inventory methods to continuous, automated cryptographic visibility. Traditional, annual spreadsheet audits are point-in-time snapshots that become obsolete the moment they are completed.

As the largest standalone cybersecurity provider, Palo Alto Networks leverages existing federal firewalls as distributed sensors within an integrated platform turns the network into an automated, real-time cryptographic control point. Agencies using the QSS solution will achieve high-fidelity visibility into their network-wide cryptographic posture and active algorithms immediately on Day 0, without introducing operational friction or deployment delays. By utilizing the native cryptographic discovery capabilities built into already deployed firewalls, agencies can activate their PQC migration plans without demanding a net-new, capital-intensive hardware acquisition. This makes Palo Alto Networks solution a fiscally responsible and rapid path to PQC migration execution. 

Technical Architecture: Discovery to Remediation

QSS operationalizes the full PQC migration lifecycle through a unified control plane built on three technical pillars:

• Agentless Discovery: QSS transforms the existing Palo Alto Networks security fabric into a distributed sensor network, providing comprehensive  visibility into encrypted sessions, certificates, and tunnels. This approach identifies hidden cryptographic debt across diverse vendor ecosystems and IoT without forcing new agent rollouts or secondary hardware deployments.
• Prioritized Risk Intelligence: The platform fuses automated cryptographic discovery with rich enterprise context, correlating the mathematical strength of ciphers and certificates against asset criticality and data sensitivity categorization. This multidimensional risk engine enables teams to move beyond raw technical alerts and focus resources on protecting long-lived, high-value data against Harvest Now, Decrypt Later (HNDL) attacks and cryptographic debt.
• Active Inline Remediation: QSS moves beyond reporting to active risk reduction. For most legacy systems that cannot natively support PQC, Cipher Translation allows the firewall to translate weak classical encryption into quantum-safe standards at the network edge, shielding unpatchable assets without requiring application code changes.

Immediate Implementation

The Executive Order on Securing the Nation Against Advanced Cryptographic Attacks confirms that PQC is a national security imperative, not just a compliance requirement. For agencies, that means treating the shift to post-quantum cryptography as a strategic initiative that protects critical data today and safeguards it against tomorrow's threats. Our FedRAMP Moderate authorization reinforces that Palo Alto Networks is a proven partner in that effort, helping agencies build a cohesive posture that is "Secured in America" and made for the needs of the U.S. government. We're committed to helping the public sector modernize with confidence.

Get Ahead of the Mandate

Stop guessing which digital locks to change first. Quantum-Safe Security transforms your existing infrastructure into a high-fidelity sensor network to neutralize "harvest now, decrypt later" (HNDL) risks without new architectural complexity. Explore our FedRAMP Moderate authorized platform to see how you can achieve zero-downtime cryptographic resilience and bridge the gap for unpatchable legacy systems via in-line enforcement.

The post FedRAMP Moderate Authorization for Palo Alto Networks Quantum-Safe Security appeared first on Palo Alto Networks Blog.

Securing Every Environment at the Speed of Frontier AI

Recognized as a Leader for the second consecutive time and positioned furthest for Completeness of Vision. Palo Alto Networks is advancing hybrid mesh firewall with one integrated platform for preemptive protection, agentic operations, AI runtime security and quantum-safe security across the enterprise.

 

We are proud to share that Palo Alto Networks has been named a Leader in the 2026 Gartner® Magic Quadrant for Hybrid Mesh Firewall for the second consecutive time, and positioned furthest for Completeness of Vision.

We believe this recognition reflects the strength of our approach to network security: one natively integrated platform that delivers consistent protection, policy and operations across every environment.

It also comes at a pivotal moment for cybersecurity. Frontier AI is collapsing the time between vulnerability discovery and exploitation. AI applications and agents are creating new infrastructure and data risks. At the same time, the cryptographic reset is forcing enterprises to rethink how they establish and maintain digital trust.

Fragmented firewall architectures and manual security operations were never designed for this speed, scale or complexity, and can no longer keep pace.

One Platform Across Every Environment

Hybrid environments have traditionally required organizations to deploy and manage different security products across data centers, clouds, branches, campuses and remote users. The result is often fragmented policy, inconsistent protection and operational complexity.

Palo Alto Networks transforms hybrid mesh firewall from a collection of enforcement products into a unified, intelligent security platform, powered by Precision AI.

The  Strata Network Security Platform is our Hybrid Mesh Firewall, spanning hardware  (PA-Series), virtual (VM-Series), cloud-native (Cloud NGFW) and firewall-as-a-service (SASE) deployments with consistent policy, shared intelligence and threat prevention across environments. 

Strata Cloud Manager provides unified policy, visibility and AI-driven operations across these enforcement points. Beyond traditional firewall environments, the platform extends protection to the browser with Prisma Browser and to AI applications, models and agents with Prisma AIRS®.

Cloud-delivered security services, including Advanced Threat Prevention, Advanced WildFire, Advanced URL Filtering, and Advanced DNS Security deliver consistent, inline prevention across environments. Intelligence discovered in one part of the platform can strengthen protection everywhere, turning every enforcement point into a real-time prevention layer.

If you’re new to the concept of HMF, explore our primer on What Is a Hybrid Mesh Firewall and Why It Matters.

The Hybrid Mesh Firewall Market Is Evolving

Gartner’s 2026 Hybrid Mesh Firewall research describes a market moving toward more automated, intelligence-driven security platforms as organizations manage increasingly complex hybrid environments. 

The report identifies several trends shaping the evolution of hybrid mesh firewall, including the growing adoption of cloud-based management, AI-driven threat prevention, automation through LLM-based assistants, post-quantum cryptography and security capabilities for AI applications and workloads.

As these requirements evolve, organizations need a network security architecture that can deliver consistent protection and operations across hybrid environments while preparing for emerging AI and quantum-era risks.

Advancing Hybrid Mesh Firewall for the Frontier AI Era

Against this backdrop, Palo Alto Networks continues to advance the Strata Network Security Platform for the Frontier AI era.

Preempt attacks earlier: Advanced Threat Prevention Plus uses Frontier AI-powered vulnerability discovery and Frontier Virtual Patching to deliver preemptive protections, including before vulnerabilities are publicly disclosed or official patches are available.

Disrupt attacker infrastructure: Advanced IP Defense continuously identifies, validates and blocks attacker-controlled infrastructure in real time - even when adversaries use direct-to-IP communications, proprietary encryption, residential proxies or trusted cloud infrastructure to evade traditional security signals.

Operate at machine speed: Six purpose-built Network Security Agents in Strata Cloud Manager assist teams with deployment, troubleshooting, configuration management, posture optimization, threat investigation and data protection, with built-in guardrails and human oversight.

Secure AI and modernize digital trust: Prisma AIRS helps secure AI applications, models and agents across the AI lifecycle, while Quantum-Safe Security and Next-Generation Trust Security help organizations identify cryptographic risk and modernize digital trust. Read more about Palo Alto Networks’ approach to securing AI.

Together, these capabilities help organizations reduce exposure before attacks succeed, operate at machine speed, secure AI infrastructure and modernize digital trust for the post-quantum era.

Proven Security, Performance and Scale

A unified platform must deliver not only breadth, but also effective protection and reliable performance under demanding conditions.

Independent SecureIQLab testing demonstrated 99% security efficacy, with Palo Alto Networks scoring approximately 20 points higher than the next-best tested vendor. Miercom validation demonstrated up to 2–8 times higher AI traffic throughput, along with strong TLS inspection and stable performance under sustained load.

More than 75,000 organizations around the world rely on Palo Alto Networks to consolidate security, improve visibility and reduce risk across their hybrid environments.

This global scale provides intelligence that continuously strengthens the platform. Every attempted attack expands what the platform can learn, and every new detection can become protection for all customers.

Defining the Future of Hybrid Mesh Firewall

We believe being named a Leader for the second consecutive time reinforces our conviction in an integrated platform that delivers consistent prevention and operations everywhere an enterprise operates.

But we believe industry leadership is also about preparing customers for what comes next.

As Frontier AI accelerates attacks, autonomous systems reshape security operations and quantum risk changes the foundations of digital trust, enterprises need more than a collection of firewalls. They need an intelligent security platform that can transform shared intelligence into prevention across every environment.

Palo Alto Networks is building that future, helping organizations reduce exposure before attacks succeed, operate at machine speed, secure AI infrastructure and modernize digital trust for the post-quantum era.

Download the 2026 Gartner® Magic Quadrant for Hybrid Mesh Firewall to learn more about why Palo Alto Networks was named a Leader.

 

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Gartner Disclaimer

Gartner, Magic Quadrant for Hybrid Mesh Firewall, 7 September 2026

This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Garner document is available upon request from Palo Alto Networks.

Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.

Gartner and Magic Quadrant are a trademark of Gartner, Inc., and/or its affiliates.

The post Palo Alto Networks Named a Leader in the 2026 Gartner® Magic Quadrant™ for Hybrid Mesh Firewall appeared first on Palo Alto Networks Blog.

Enterprises are seeing an unprecedented surge in AI coding adoption with spend on AI coding tools projected to top $13 billion in this calendar year¹, compounding at more than 60% annually. For engineering teams, the benefits are unmistakable: accelerated output, supercharged productivity, and operational overheads dramatically reduced.

But these AI solutions are no longer just offering helpful coding suggestions. Today’s coding agents are able to assume a user’s identity, modify file systems, execute arbitrary terminal commands, and connect directly into core business systems.

Traditional cybersecurity architectures were engineered around three foundational assumptions: known software, human users, and human-speed actions. AI coding fundamentally dismantles all three.

The Breakdown of Traditional Controls for Secure Software Development.

As AI-assisted coding accelerates, traditional security controls are quickly falling behind, creating four volatile vectors of risk: 

• Shadow AI at Enterprise Scale: Coding agents, IDE (Integrated Developer Environment) extensions, skills, and MCP (Model Context Protocol) servers permeate the enterprise before security teams even know they exist. In 2026, 68% of organizations reported lacking visibility into the AI tools their developers were actually using, and 57% of employees reported using AI coding tools without formal IT approval². 
• Risky Behavior by Agents: AI coding agents have the capability to  change files, access company resources, and execute system commands in milliseconds. In one documented³ AI-enabled intrusion chain, an agent executed 17,600 actions in 4.5 days creating a timeline no human-enabled SOC can manually govern. 
• Blurred Identity and Attribution: Machines now outnumber human identities 109 to 1⁴. And, because agents frequently operate using human credentials, distinguishing developer action from autonomous agent action becomes nearly impossible. When anomalies occur, this obscured attribution further complicates root causing the issue. 
• Uncontrolled Connections, Data, and Cost: Agents connecting to external models, MCP servers, and third-party tools outside the company, presents another distinct but related issue. All these connections also quietly increase consumption of AI resources, and separately exacerbate the risk of sensitive IP leaks. A recent survey found⁵ that 93% of enterprises exceeded their AI budgets with 20-30% of AI spend being entirely unaccounted for.  

Resetting the Controls for AI-Native Development.

Securing AI coding inside an enterprise requires a proactive, platform-centric approach:

• Discover shadow AI and what it’s using: Gain complete visibility across every model, agents, plugin, skill, and MCP to neutralize risky or unsanctioned components before they perform harmful actions.
• Assess supply chain risks: Scan skills, models, and MCP to make sure they are trusted.
• Protect identity and prompt: Inspect prompts, model outputs, and autonomous interactions in real time. Provision verified, task-scoped identities for agents and eliminate standing privileges.
• Govern data, actions, and cost: Enforce zero-trust boundaries over external model connections, governing access to file systems, sensitive corporate data, and establishing hard policies over AI resource consumption and spend.

The Platformization Advantage for Superior Governance.

Today, endpoint visibility, LLM traffic, token consumption, agent identity and actions are fragmented across disparate solutions introducing visibility gaps and creating new risks for enterprises. Palo Alto Networks delivers AI coding security natively with an integrated platform to secure what gets installed, what runs, what data leaves the enterprise, and which identity is used.

AI coding tools will continue to evolve, as they should. But your builders don’t have to choose between speed and security. The goal is not to slow down developer momentum, but to provide the security controls that serve as scaffolding for your teams to innovate faster and with complete confidence.

Secure your AI. We’ve got next.

Visit our Secure AI Coding page or download our solution brief to learn more.

 

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1 - IdeaPlan
2 - The AI Velocity Gap
3 - Hugging Face
4 - Idira 2026 Identity Security Landscape - Chapter One
5 - McKinsey; Oabo

The post Secure AI Coding: Governing every agent, artifact, and identity appeared first on Palo Alto Networks Blog.

A secure workspace for your team - so you can focus on building, not on what could go wrong.

Every customer support agent starts their day the same way: opening a browser, logging into Zendesk, and handling sensitive customer interactions. For most early-stage teams, that workspace is completely unprotected. The browser is where your people work, where your customer data lives, and where most security incidents begin - yet it's the layer that gets secured last, if at all.

AI is now part of everyday work. Your team is using agents and AI-powered workflows to move faster. But as your AI usage scales, so does your exposure: sensitive customer data, keys, source code, credentials, and proprietary information can flow into unvetted AI tools without anyone noticing - including you. And the browser is where all of it happens.

The startup ecosystem thrives when founders can focus on building. That's why Palo Alto Networks partners with the Zendesk Startup Program to provide early-stage teams access to the same browser security used by large enterprises - so startups are not forced to choose between preserving runway and protecting their customers' data.

A secure workspace, not just a secure browser.

Picture this: a support agent on your team gets a convincing phishing email that looks like a familiar notification. They click the link, land on a spoofed login page, and enter their credentials. Within hours, an attacker has access to your support system, and every customer conversation, ticket, and piece of sensitive data inside it. You find out when a customer calls to ask why your support team reached out, asking for payment details.

This isn't a hypothetical. It's how many small business breaches actually play out - and it's exactly what Prisma Browser for Business stops. We use Palo Alto Networks’s Precision AI-powered security to recognize the destination as malicious and block it before the page ever loads. No credentials entered. The agent sees a warning and moves on with their day.

That's the core idea behind Prisma Browser for Business (PBB): a secure workspace that sits at the intersection of work, AI use and threats - the browser. PBB wraps your entire browser session in enterprise-grade security, protecting every app, every tab, and every interaction, without requiring your team to change how they work.

For Zendesk users specifically, PBB can be configured with Zendesk as a dedicated workspace app - automatically applying the right security policies to everything Zendesk-related the moment your team opens it. Phishing attempts are blocked. Data leakage from support conversations is prevented. And your agents work inside a protected environment without any extra steps on their end.

The result: your team gets a seamless experience, and you get end-to-end visibility and control over how Zendesk is accessed across every device on your team.

The security gap startups can't afford to ignore.

When you're building a company, security can feel like something to tackle later - after the product ships, after the team grows, after the next funding round. But phishing, malware, and data leakage are not enterprise problems. They're startup problems too - and they can be significantly more damaging when you don't have a dedicated security team to catch them.

Three risks in particular are growing fast for early-stage teams:

• AI tools without guardrails. Your team is almost certainly using AI tools - Claude, ChatGPT, Copilot, and others - to move faster. But without controls in place, sensitive customer data, internal documents, and proprietary information can flow into these tools without anyone noticing. PBB lets you set guardrails around how AI tools are used in the browser, so your team can stay productive without inadvertently exposing data they shouldn't.
• Unvetted browser extensions. Extensions are one of the most overlooked attack surfaces in any organization. A single malicious or compromised extension can silently capture credentials, intercept data, or give an attacker persistent access to your environment. PBB gives you control over which extensions can be installed across your team's browsers, and alerts you when a suspicious or malicious extension is detected - before it can do damage.
• Phishing and malware. The browser is the primary delivery mechanism for both. PBB blocks malicious sites and stops malware downloads in real time, protecting your team and your customer data at the point of risk.

PBB brings all of this together in a way that is simple to deploy and easy to manage - no security expertise required, no complex infrastructure to stand up.

Built for where startups actually are.

The Zendesk Startup Program is designed to support founders from their earliest stages through scale - including when security becomes a core business priority. Startups eligible for the program can access PBB as a practical way to evaluate enterprise-grade workspace security without a large upfront commitment. It's a way to build securely from the start, preserve runway, and scale your operations with confidence.

As a rapidly growing startup, you shouldn't have to choose between moving fast and staying secure.

• The browser is your biggest security gap - and it's where startups get hit first. Phishing, credential theft, malicious extensions: these aren't enterprise problems. They're startup problems, and they land in the browser before you even have a security team to respond.
• Security doesn't have to slow your team down. PBB applies enterprise-grade protection automatically - no behavior change required from agents, no complex infrastructure to stand up. Your team works exactly as they do today, just inside a protected environment.
• Build securely from day one, without the day-one security budget. Leverage protection large enterprises rely on - so you don't have to choose between your runway and your customers' trust.

Ready to get started?

Startups participating in the Zendesk Startup Program are eligible to apply for PBB as part of their program benefits. Visit the Prisma Browser for Business dedicated landing page for Zendesk to take advantage of our partner’s promotion.

The post Building Securely From Day One: Palo Alto Networks Partners with the Zendesk Startup Program appeared first on Palo Alto Networks Blog.

How Partners Can Turn Marketplace Momentum into Customer Value.

Cloud marketplaces have become an increasingly important way for customers to buy technology. They can offer a familiar route to procurement, help organizations use their precommitted cloud budgets for eligible purchases and support goals such as consolidating IT spend and simplifying governance.

For partners, though, the opportunity goes well beyond the transaction. A recent report from Canalys (now Omdia) predicts that by 2027, more than half of all hyperscaler marketplace business will flow through partners. That points to an important shift in how technology is bought and sold – and creates an opportunity for partners to bring much more than purchasing convenience to the table.

Partners know their customers. They understand their environments, priorities and cloud investments. Many also bring the services and technical expertise needed to migrate, integrate, deploy, and manage technology after it’s purchased. When we combine that customer intimacy with the reach and capabilities of leading cloud service providers (CSPs) and the Palo Alto Networks platform, marketplaces can become a powerful vehicle for creating value across the ecosystem.

Meeting Customers Where They Want to Buy.

One of the most important principles in any marketplace strategy is also one of the simplest: Meet customers where they want to buy.

Organizations have established relationships with CSPs and, in many cases, significant cloud commitments. They may also have specific pricing arrangements, governance requirements and procurement processes tied to those relationships. A marketplace purchase can allow them to work within that existing framework rather than introduce an entirely separate buying motion.

The opportunity for partners is to understand those dynamics early. Does the customer have a cloud commitment? Is there a marketplace budget available? Are there CSP programs that could support the opportunity? Would purchasing through the marketplace make the process easier or provide a commercial advantage?

Palo Alto Networks works across the four major CSP ecosystems – AWS, Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure (OCI) – giving partners the flexibility to follow customers to the cloud environments and marketplaces that make sense for them. Through Palo Alto Networks agreements with CSPs and benefits available through the reimagined NextWave Partner Program, marketplace transactions can also carry relevant pricing advantages for eligible partners and customers.

The goal is to understand how and where the customer wants to buy, then build the opportunity from there. 

Bringing More Value to the Transaction.

Of course, procurement is only the beginning. A marketplace can make technology easier to purchase, but partners can help customers turn that purchase into adoption and value.

Say a customer is looking to secure AI adoption, migrate infrastructure to the cloud, modernize on-premises infrastructure or transform its network. Addressing any of those priorities takes more than selecting technology. The customer may also need help assessing their IT environment, deploying and integrating new capabilities, and connecting their investment to a broader security strategy.

Partners are often closest to those needs because they already have trusted relationships with customers. Many are also managed security services providers (MSSPs) or have other services capabilities they can provide around a marketplace transaction.

That creates an opportunity to do more than facilitate a sale. Partners can combine Palo Alto Networks technology with their own services and expertise to develop a more complete offer for the customer. In turn, that can expand the value of the engagement, support technology adoption and create opportunities to develop and expand more strategic customer relationships.

Palo Alto Networks has long recognized this role for partners. The newly evolved NextWave Partner Program includes marketplace, resale, managed security services, support and delivery models, reflecting the different ways partners contribute throughout the customer lifecycle.

Turning a Customer Need into a Broader Platform Conversation.

Marketplace opportunities can also open the door to platform discussions. Customers rarely look for “platformization” from the outset. Most often, they just want to solve a specific problem. They may need to protect an AI initiative, secure a cloud migration, modernize infrastructure or improve connectivity for a cloud-first environment. But those priorities often intersect with other cybersecurity needs.

That gives partners an opportunity to start with the customer’s immediate need and identify how a more integrated, consolidated approach can deliver additional value. This is where complementary capabilities across the ecosystem can come together. CSPs provide the cloud platforms and services customers use. Palo Alto Networks extends security across those environments. And partners bring the technical expertise, services and customer context needed to connect those capabilities to specific needs.

Rather than viewing each technology purchase in isolation, partners can help customers consider how it contributes to a broader security strategy. And as we develop marketplace sales motions in additional areas, including identity, partners will have even more opportunities to connect capabilities around customers’ evolving needs.

Collaboration: The Key to Unlocking Marketplace Opportunities.

For all the attention cloud marketplaces receive as a digital route to market, much of the opportunity today is still deeply relationship-based. It starts with identifying the customer need, understanding that customer’s cloud strategy and commitments, bringing the right value proposition and then getting the right people around the table.

Success hinges on effective collaboration between the partner, the customer, the CSP, and our dedicated Palo Alto Networks account and alliance teams. Through early qualification and joint account planning, we can collectively pinpoint customer challenges, determine the best purchasing route, and define how each stakeholder can contribute to the solution.

This is also where marketplace strategy connects directly to the value exchange in cybersecurity I’ve discussed previously. Partners, vendors and other members of the ecosystem invest in different capabilities – technology, knowledge, skills, services and customer relationships – and create greater value when those investments are aligned around the customer. Public cloud marketplaces give us another way to put that model into action.

We Are Only Scratching the Surface of What’s Possible.

Cloud marketplaces are already changing how customers purchase technology; however, I believe we have only scratched the surface of what partners, CSPs and technology providers can accomplish together as these marketplaces evolve.

For partners, the next step is to understand the CSP initiatives and marketplace programs relevant to their customers, identify where their own services and expertise can add value, and be ready to act when the right opportunity emerges. 

Ready to Make the Most of Cloud Marketplaces? 

Reach out to your Palo Alto Networks team to schedule a sales enablement session, learn the relevant CSP sales motions, identify opportunities within your customer base and understand how to submit deal registrations through the NextWave Partner Program.

Key Takeaways:

• Meet customers where they want to buy. Cloud marketplaces can align purchases with existing cloud relationships, commitments and procurement preferences.
• Partners add value beyond the transaction. Customer knowledge, services and technical expertise can help turn purchases into adoption and lasting business value.
• Collaboration expands the opportunity. Early coordination among partners, Palo Alto Networks and CSPs can uncover opportunities and support a broader platformization strategy.

The post Making the Most of the Cloud Marketplace Opportunity appeared first on Palo Alto Networks Blog.

At the 2026 Executive Partner Summit, Palo Alto Networks President BJ Jenkins made one thing clear: the AI era is the platform era — and above all, the AI era is the partner era. Palo Alto Networks tightly integrates its platforms to work seamlessly together and give customers full end-to-end protection. 

But securing the world’s largest organizations requires both advanced AI security technology and the combined power of our ecosystem, spanning resellers, service providers, cloud providers, distributors, and strategic advisors, to drive success at every stage. From initial architecture and deployment to 24/7 managed services, our partners ensure complex environments stay protected at scale.

As organizations navigate unprecedented technological transformation, partners are more critical than ever before in helping our customers modernize by adopting AI-powered platform security.

Anar Desai
North America Channel Sales at Palo Alto Networks

 

Together, Palo Alto Networks and our partner community are redefining what it means to secure the enterprise. As we continue to deepen our commitment to our partner ecosystem, we're proud to announce the winners of the Palo Alto Networks 2026 North America Partner of the Year Awards. 

This year’s award winners have demonstrated exceptional performance, deep expertise, and an unwavering commitment to our joint customers. Together, they reflect what is possible when Palo Alto Networks and our partners align around a shared goal: helping customers secure today while preparing for what’s next.

Congratulations to our:

• North America Cloud Provider of the Year: Amazon Web Services
• North America Distributor of the Year: TD SYNNEX
• North America Managed Security Services Provider of the Year: Norlem
• North America Service Provider of the Year: AT&T Business
• North America Solution Provider of the Year: World Wide Technology 
• North America System Integrator Partner of the Year: Deloitte
• North America Frontier AI Partner of the Year: NTT DATA
• North America Idira Advisory Partner of the Year: Accenture
• North America Idira Partner of the Year: Optiv
• North America Network Security Partner of the Year: Sycomp
• North America Prisma AIRS Partner of the Year: Cognizant
• North America SASE Partner of the Year: Trace3
• North America Cortex Partner of the Year: Presidio
• North America Software Firewall Partner of the Year: AHEAD
• North America Commercial Select Partner of the Year: GuidePoint Security
• North America Federal Growth Partner of the Year: Vibrint
• North America Federal Partner of the Year: ThunderCat Technology
• North America Growth Partner of the Year: Insight Enterprises
• North America Small-Medium Business Partner of the Year: CDW
• North America State, Local & Education Partner of the Year: NWN
• Canada Partner of the Year: Kyndryl
  

Building a more secure future, together. 

Our awards honor a shared commitment to customers. Our partners bring their expertise, capabilities and perspective to the table, and that collaboration helps turn our technology into outcomes. 

For our partners, this award celebrates the shared effort that keeps our customers safer every single day. As trusted advisors, they bring the strategic guidance and domain experience clients rely on to navigate an ever-changing threat landscape. Together, we help customers turn complex security challenges into lasting confidence and trust. 

To our 2026 North America partner award winners: thank you for your relentless commitment to protecting our customers and setting the standard for excellence across our ecosystem. We look forward to deepening our alignment and driving the next wave of platform innovation together.

Join us in securing the frontier and protecting our digital world. Learn more about our Palo Alto Networks Partner Program and how to become a partner today.

The post Celebrating excellence: Palo Alto Networks announces the 2026 North America Partner of the Year Awards appeared first on Palo Alto Networks Blog.

Frontier AI has compressed attack timelines from weeks to minutes. 

For defenders to gain the upper hand, they need to fight back at machine speed. That’s why Palo Alto Networks Unit 42 launched Frontier AI Defense, our comprehensive service that pairs advanced frontier AI models with leading threat intelligence to uncover hidden risks, validate real attack paths, and accelerate remediation before adversaries strike. 

Today, in a major milestone for organizations to defend themselves against AI-powered attacks, Unit 42 is expanding its Frontier AI Exposure Analysis capabilities with Anthropic’s Claude Mythos 5, giving organizations access to its advanced cyber capabilities.

Unlocking High-Fidelity Security with the Right Models, Harness and Expertise

While incredibly powerful, achieving high-fidelity results with frontier AI requires three things: the right models, an advanced harness, and the expertise to run it. With Unit 42 Frontier AI Exposure Analysis, guided and reviewed by Unit 42 experts, Claude Mythos 5 goes beyond identifying exposures. It tests whether those exposures can actually be exploited, connects weaknesses into attack paths, and helps prioritize the most urgently needed fixes. That answers the questions conventional scanners alone cannot: Is this exploitable? What can an attacker reach from here? And what should we fix first?

Further, our research shows models have different strengths. Unit 42’s multi-model approach applies the model best suited for the task, improving coverage and results while allowing us to continuously incorporate the strongest new capabilities as models advance. 

Human expertise remains at the center. Unit 42 combines these models with our offensive security experts, global Palo Alto Networks telemetry, and Unit 42 Threat Intelligence to turn model output into validated attack paths, prioritized remediation, and clear defensive action.

How It Works

Our Frontier AI Defense service uses the most advanced AI models to discover exposures, test whether they are exploitable, validate attack paths and help customers prioritize what to fix first, including: 

• Leading Cyber Models: Advanced AI applied to discovery, testing, and validation.
  
• Multi-Model Harness: Dynamic routing for stronger results, wider coverage, and managed costs.
  
• Exposure Discovery: Identification of vulnerabilities, misconfigurations, exposed credentials, and unmanaged attack surfaces across apps and networks.
  
• Advanced Adversary Simulation: Live exploitability testing and end-to-end attack path validation.
  
• Custom Remediation Plans: Prioritized fixes delivered directly into existing IT, development, and security workflows.

Security teams do not need more findings. They need to know which weaknesses lead to a viable attack path. Attackers do not think about applications, identity, cloud, and infrastructure in isolation. They look for ways to move across them to reach their objective.

By putting frontier models to work with Unit 42 experts, we can identify and validate those attack paths before attackers do, and help organizations close them first.

Visit Palo Alto Networks Frontier AI Defense to learn more.

The post Unit 42 Defends Organizations Against Next-Gen Frontier AI Risks with Anthropic’s Mythos 5 appeared first on Palo Alto Networks Blog.

Unit 42 is putting the latest frontier cyber models to work across customer environments to find, validate and help remediate the attack paths that matter most.

In May, we introduced Frontier AI Defense with a warning: the window to get ahead of AI-enabled attacks was shorter than most people realized. Since then, we have briefed more than 1,000 security teams around the world and introduced our Frontier AI Defense service to hundreds of customers.

Today, through our partnership with OpenAI, we are expanding Unit 42 Frontier AI Exposure Analysis to put advanced frontier cyber models directly to work in customer environments. Under Unit 42 direction, these models can find exposures, test whether they are exploitable, validate attack paths and help customers prioritize what to fix first.

Our early work shows why this approach matters: 36% of the exposures we identified map to no known CVE, often because they involve multiple gaps that have to be discovered, chained and tested together.

Bringing the Latest Frontier Cyber Capabilities to Defenders

Palo Alto Networks has been among a limited group of organizations with early access to advanced cyber capabilities from the leading frontier AI labs. Through our partnership with OpenAI, Unit 42 can now bring its latest advanced cyber capabilities, including GPT-5.6 Daybreak, to security testing and validation for our customers. Until now, GPT-5.6 Daybreak has not been available for commercial use.

Frontier models have helped inform the work of our experts. Now they can increasingly perform complex offensive security tasks directly, at machine speed and under Unit 42 direction. That allows us to go deeper than traditional vulnerability discovery by testing exploitability, reasoning across multiple weaknesses and determining how an attacker could use them to achieve an objective.

There is no single best model for every cyber task. Our research has shown that different models have different strengths and find vulnerabilities others miss. A multi-model harness routes work to the model best suited for the task, improving efficacy and coverage while managing the cost of frontier AI at scale. As stronger models emerge, we can incorporate them without rebuilding the offering around a single model or provider.

Unit 42 experts remain central to the process. We combine frontier models with our offensive security expertise, Palo Alto Networks telemetry and Unit 42 Threat Intelligence to validate findings, connect exposures into attack paths and understand what an attacker could ultimately achieve.

Built to Find What Attackers Can Exploit

The expanded service brings five capabilities together:

• Leading cyber models: Apply the latest advanced cyber models to improve exposure discovery, testing and validation.
• Multi-model harness: Use the right model for the right task to improve efficacy, expand coverage and optimize cost.
• Exposure discovery: Find vulnerabilities, misconfigurations, leaked credentials, unmanaged attack surface and other posture gaps across applications and network assets.
• Advanced adversary simulation: Actively test exploitability and validate end-to-end attack paths to understand how an attacker could compromise the environment.
• Custom remediation plan: Prioritize the fixes that break the most important attack paths and feed those findings into existing IT, development and security workflows.

Most security teams already have more findings than they can act on. The harder problem is knowing which ones create a real path to compromise. Attackers look across applications, infrastructure, identity and cloud for weaknesses they can combine to achieve an objective. Frontier AI Exposure Analysis applies that same adversarial perspective, helping defenders understand which paths matter and what to fix first.

The Asymmetry Runs Both Ways Now

For the past several months, frontier AI has been a story about what is coming for defenders: vulnerability discovery at scale, exploit chaining that sees full-stack logic no scanner catches, and attack cycles compressed to seconds from initial access to exfiltration.

All of that is still true. Our answer has been to put everything we learn testing these frontier models into the hands of defenders. Today, that gets more direct: not just what frontier models have taught us, but the models themselves, working in your environment for your defenders before those same capabilities are working for the attacker.

The window is still closing. We intend to spend it building on the side of the defenders.

Visit Palo Alto Networks Frontier AI Defense to learn more.

The post Putting OpenAI Cyber Models to Work for Defenders appeared first on Palo Alto Networks Blog.

As organizations race to deploy agentic AI, legacy network security solutions are ill-equipped to keep up, forcing productivity tradeoffs while exposing coverage gaps. At the same time, Frontier AI is proving capable of discovering vulnerabilities and creating exploits in real-time. Navigating this shift requires more than incremental feature enhancements; it requires a bold, market-defining vision backed by relentless customer focused execution. 

Today, we’re proud to announce that Gartner® has once again recognized Palo Alto Networks as a Leader in the 2026 Magic Quadrant™ reports for both Security Service Edge and SASE Platforms. This marks the fourth consecutive year that Palo Alto Networks has been recognized, making us the only security vendor to be recognized as a Leader in both reports for four years in a row.

In this year’s Magic Quadrant for SSE, Palo Alto Networks was placed highest in ability to execute and furthest in completeness of vision for Prisma Access.

Every day we focus relentlessly on understanding the needs of our customers and channeling that back into products and services that create real value for them. Our product strategy centers on where our customers' environments and security needs are heading, not just where it sits today.

Vision Matters More than Ever in the AI Era

The AI landscape is changing daily - in this new reality, we strive to be the visionary leaders to serve our customers. GenAI and Agentic AI are exposing enterprises to novel categories of risks like prompt injection, over-privileged agents, and poisoned models. At the same time, Frontier AI is accelerating vulnerability discovery and attack speed resulting in attack timelines being compressed by over 95%.

Gartner projects that by the end of this year, 40% of enterprise applications will feature embedded agents, up from less than 5% today. And by 2028, 60% of brands will use agentic AI to facilitate streamlined one-to-one interactions. Operating a business in this new reality requires security architecture engineered to anticipate threats that haven't yet emerged. Success cannot be achieved by retrofitting legacy products with support for AI infrastructure. It demands a unified future-ready foundation that natively secures users, applications, sensitive data, and non-human identities across every touchpoint. The platform enterprises use today determines whether they'll be prepared for tomorrow's threats.

As the cybersecurity landscape undergoes its biggest shift in decades, to us, the Gartner recognition as a Leader on vision and execution across both reports means more than ever before. In our opinion, it not only validates Palo Alto Network’s ability to serve the world’s largest enterprises but also celebrates our strategic product capabilities as shaping the future of cybersecurity through industry leading innovation such as securing AI traffic flows and agents that simplify manageability of SASE operations.

Vision Backed by Relentless Execution

We believe being placed highest in execution and furthest in vision is only as valuable as the ability to execute on it, and Palo Alto Networks has a proven record of creating value for our customers. Our recent milestone of crossing the $1.6 billion ARR mark while growing 40% year over year for Prisma SASE reflects the trust customers have placed in us. Over 6,800 organizations, including over one third of the fortune 500, trust us because we consistently turn market-defining innovation into enterprise-grade reality. Our execution leadership is built on a strong foundation:

• Security powered by Precision AI: Our platform delivers universal zero trust through distributed and flexible enforcement points. We inspect traffic as close to the user as possible to ensure that whether your teams are at the corporate HQ, a remote branch, a coffee shop or working from home, they receive the same protection at their precise point of interaction.
• Unmatched performance and resilience: By leveraging global hyperscalers, we provide the massive scale and reach that modern organizations require. For specialized, high-performance and sensitive needs, SASE Private Location brings that same cloud-delivered resilience directly to private campuses.
• Unified platform: With a truly unified policy engine, data platform and operations, we ensure that as enterprises adapt to the future, our architecture remains an accelerator for secure productivity rather than a bottleneck. We accelerate vendor consolidation for enterprise customers, replacing fragmented legacy point products with a single platform that slashes operational overhead and reduces total cost of ownership (TCO) by up to 50%.

Building for the Future 

As the rules of cybersecurity are rewritten in real time, leading the market requires more than following past trends, it requires setting the trajectory. Our aim is to continuously be at the forefront of defining the future of cybersecurity to power the agentic enterprise of tomorrow.

Protecting with AI

Palo Alto Networks continues to innovate to keep enterprises safe at the speed of AI. Our Precision AI security service blocks over 30B threats every single day defeating sophisticated and highly evasive tactics. When combined with our virtual patching and IP defense security services, organizations receive proactive defense that secures at the speed of Frontier AI with flexible enforcement that provides consistent protection everywhere. We are delivering comprehensive security across network, edge, and cloud infrastructure to stop hidden threats that are invisible to traditional networks security solutions. 

This AI-powered defense in depth strategy operates across the entire attack lifecycle to enable proactive protection that shifts enterprise security postures from reactive incident response to preemptive defense. 

Securing AI 

Safely enabling employee adoption of AI tools and agents requires special considerations to mitigate risks around data leaks, intellectual property exposure, and compliance. Prisma SASE and Prisma Access solve these challenges by discovering all AI usage and agentic actions, enforcing granular least privilege access for human and non-human identities, and preventing exposure of risky data to AI and agents. Through AI Access Security™, Prisma SASE provides unified data security across the AI lifecycle by integrating GenAI app visibility and control, real-time prompt analysis, shadow data discovery, and  protection on endpoint. Prisma Browser provides a secure AI workspace that safeguards both human and autonomous agent workflows across any LLM by defending against data leaks, prompt injections, and agent hijacking. 

To secure the rapid adoption of AI agents by enterprises, Prisma Access will natively integrate with Prisma AIRS AI Gateway to provide a unified LLM, MCP, and A2A gateway giving security teams a single pane of glass for AI observability, cost governance, and runtime inspection.

This innovative approach represents an evolution away from traditional device and user centric fabrics towards an agent-aware platform capable of securing AI for the enterprise of tomorrow, today. 

Operating with AI

We continue to invest in capabilities that make our platforms proactive, efficient and easier to use. Our new deployment agents enable customers to onboard their SSE or SASE environment more efficiently, reducing their time to value while increasing productivity. Once onboarded, autonomous AI agents within Strata Cloud Manager continuously evaluate network and security posture to proactively identify configuration drift, performance degradation, and security policy gaps. By uncovering potential disruptions before they impact users or expose the organization to risk we’ve created automated systems capable of finding issues and automatically remediating them, with human-in-the-loop oversight calibrated to the administrator's comfort level, from guided recommendations to full autonomy.

The practical outcome is a dramatic reduction in mean time to resolution (MTTR) and a measurable reduction in total cost of ownership (TCO) while significantly reducing administrative burdens and making Palo Alto Networks products easier to maintain and operate.

Learn More

Download your complimentary copies of the 2026 Gartner® Magic Quadrant™ reports to learn why Palo Alto Networks has been recognized as a Leader in both SASE and SSE for the fourth consecutive year.

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Gartner, Magic Quadrant for Security Service Edge, 29 July 2026, John Watts Et Al.
Gartner, Magic Quadrant for SASE Platforms, 28 July 2026, By Jonathan Forest Et Al.
Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.
Gartner and Magic Quadrant are a trademark of Gartner, Inc., and/or its affiliates.
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Palo Alto Networks.

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Palo Alto Networks works closely with OpenAI across our product platform and Unit 42, leveraging advanced frontier model capabilities. Furthermore, we are a partner in the OpenAI Daybreak Cyber Partner Program, working with OpenAI to bring trusted, AI-powered cyber defense to more organizations. Today, we’re announcing native integration of Prisma AIRS Runtime API with OpenAI Codex. This milestone deepens our partnership and drives our shared mission forward: equipping defenders with the industry's most advanced tools.

AI coding assistants have transformed software development, accelerating shipping velocity and changing how engineers solve problems. But as integration of AI coding assistants deepens across development teams, security and compliance teams constantly struggle with enabling developer productivity while helping protect proprietary source code and credentials, and reducing the risk of runtime threats entering the codebase.

Streamlined Security in Minutes

We designed this integration to eliminate complex traffic steering and heavy client-side hooks. Securing your entire developer organization takes just a few clicks inside Codex Enterprise Management UI. Here is how you can enable it:

1. Retrieve Credentials: Generate your API key and endpoint from the Prisma AIRS management console.
2. Configure Codex: Paste the Prisma AIRS API key and endpoint directly into your Global Admin Console.
3. Activate Org-Wide Scanning: Once saved, all user prompts across your entire organization in Codex are automatically routed through the Prisma AIRS Runtime API for real-time inspection.

What Prisma AIRS Brings to OpenAI Codex

By connecting the Codex in ChatGPT for Enterprise workspace to the Prisma AIRS Runtime API, security teams gain comprehensive, automated security controls across two critical vectors:

1. Enterprise Data Loss Prevention (DLP)

Developers frequently paste context – logs, config snippets, or functions – into AI coding assistants. Prisma AIRS scans inputs to help identify sensitive data before it is submitted.

• Secrets & Credentials: Intercept API keys, hardcoded passwords, tokens, and private keys.
• PII & Financial Data: Automatically detect personally identifiable information and regulated data patterns.
• Proprietary Code & IP: Enforce custom pattern rules to help prevent sensitive internal code, architecture details, or trade secrets from being submitted.

2. Advanced Threat & Malicious Code Detection

AI prompts and contextual inputs can contain content that introduces security risks into development workflows. Prisma AIRS Runtime API inspects incoming developer inputs for:

• Malicious Code Patterns: Detect obfuscated scripts, dangerous command executions, or known exploit patterns within developer prompts.
• Malicious URLs & Links: Flag unverified, phishing, or malicious domain references before they influence generated code or enter internal repos.
• Prompt Manipulation Attacks: Detect adversarial inputs that may attempt to bypass system controls or alter model behavior.

Built for DevSecOps Alignment

Security controls only work if developers actually use them. Because the inspection happens at the platform administrative level via API, developers continue working natively in Codex without changing their IDE setup or downloading local hooks. SecOps gain centralized visibility, consistent policy enforcement, and audit-ready logging capabilities across the entire engineering organization, while developers keep the speed and experience they expect.

Key Takeaways

• Security as Invisible Infrastructure: Prisma AIRS integrates at the Codex administrative layer, applying security and DLP controls without requiring additional developer workflow changes. Developers can continue working in Codex while security teams maintain centralized policy controls.

• Unified Governance for Frontier Models: Prisma AIRS acts as an inline security layer that scans AI traffic in real-time before prompts ever reach the destination model. This architecture can help organizations identify sensitive information moving outward while detecting prompt manipulation and potentially malicious content moving into development workflows. If Prisma AIRS API detects a threat, a block verdict is sent to OpenAI Codex, and the prompt does not reach the destination model or MCP server.

• Organization-Wide Compliance: Deployment speed is a strategic advantage, not just an IT convenience. By configuring the Prisma AIRS API within the Global Admin Console, organizations can achieve org-wide governance without complex traffic steering. This can help development teams shift from unmanaged AI use toward more consistent, auditable security practices.

Getting Started

The Prisma AIRS integration helps organizations maintain consistent security controls while preserving the speed and productivity gains of Codex. Organizations can combine Palo Alto Networks’ security capabilities with OpenAI Codex to maintain centralized security and governance controls.

Choose your path forward:

• Attending Black Hat 2026: Stop by the Palo Alto Networks booth to check out the Prisma AIRS live demo.
• Ready to secure your rollout: Contact Prisma AIRS AI Security Experts to discuss your specific governance and deployment needs.
• Ready to build: Visit the Prisma AIRS Documentation to connect your endpoints in minutes.

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Forward-Looking Statements

This blog contains forward-looking statements that involve risks, uncertainties and assumptions, including, without limitation, statements regarding the benefits, impact, or performance or potential benefits, impact or performance of our products and technologies or future products and technologies. These forward-looking statements are not guarantees of future performance, and there are a significant number of factors that could cause actual results to differ materially from statements made in this blog. We identify certain important risks and uncertainties that could affect our results and performance in our most recent Annual Report on Form 10-K, our most recent Quarterly Report on Form 10-Q, and our other filings with the U.S. Securities and Exchange Commission from time-to-time, each of which are available on our website at investors.paloaltonetworks.com and on the SEC's website at www.sec.gov. All forward-looking statements in this blog are based on information available to us as of the date hereof, and we do not assume any obligation to update the forward-looking statements provided to reflect events that occur or circumstances that exist after the date on which they were made.

The post Strengthening Security of AI Coding: Prisma AIRS API Integration with OpenAI Codex appeared first on Palo Alto Networks Blog.

The enterprise workforce now operates almost entirely within the web browser. In fact, employees do roughly 85% of their daily work inside it, turning the browser into the sole operating system of the modern organization that connects every application, data interaction, and identity. Yet, for modern Security Operations Center (SOC) teams, the browser remains a frustrating and dangerous "black box."

While traditional Extended Detection and Response (XDR) platforms excel at monitoring endpoint hosts and processes, they treat the browser as a single, opaque process. This creates a critical visibility gap. According to research from Unit 42, over 90% of breaches are preventable by solving for factors such as visibility gaps. Because modern AI tools are predominantly accessed directly through the browser, it is now critical that SOCs get visibility into what’s happening within the browser. Leaving browser activity unmonitored forces your SOC to fight today's AI-driven workflows in the dark.

The Operational Fallout of Browser Blind Spots

SOC analysts frequently see alerts for malicious endpoint processes but lack the granular telemetry to pinpoint the exact web tab, malicious script, or user interaction that initiated the threat. This leaves incident responders blind to sophisticated tactics like rogue extensions and cross-origin attack chains, making it nearly impossible to reconstruct the full attack narrative.

When a security team operates with a fragmented view, a dangerous domino effect triggers the moment an attack strikes.

• The root cause is hidden as analysts frequently see alerts for malicious endpoint processes but do not have enough context. Lacking the necessary telemetry, the SOC is forced to take extreme containment measures and completely isolate the entire endpoint machine.
• In some cases, SOCs use third party investigation tools which create problems with disconnected context and long investigation times.
• What starts as a simple browser blind spot ultimately leads to an aggressive response that unnecessarily halts daily operations, disrupts user productivity, and floods the help desk with tickets.

Recent research on Palo Alto Networks customer incidents highlights the sheer scale of this problem, revealing massive monthly volume of Cortex threat detections stemming from siloed browser activity.

To eliminate this vulnerability, Palo Alto Networks is thrilled to announce the native integration of Prisma Browser and Cortex XDR.

Cortex XDR and Prisma Browser Better Together

By unifying deep browser-level telemetry with industry-leading endpoint detection, we are providing SOC teams with visibility into the user’s primary workspace, transforming the browser from an unmonitored process into an active security sensor.

Organizations can achieve the full benefits of this integration without complex APIs or heavy deployment overhead. Prisma Browser events including DLP violations, browser tampering, and unauthorized configuration updates are automatically fed directly into your Cortex tenant, making it incredibly easy to adopt this joint offering.

Moreover, when Cortex XDR raises an issue, browser-based events are correlated with the user’s malicious activity on the same endpoint, to add browser-based context and adding visibility to the possible starting point of the attack when it is initiated from the browser context.

What Makes Our Approach Different?

Many legacy vendors attempt to solve this problem using brittle, easily bypassed browser extensions that provide basic, surface-level visibility especially providing poor visibility into unmanaged devices. Palo Alto Networks takes a fundamentally different approach. Cortex XDR now integrates natively with Prisma Browser under the hood. This ensures both layers "speak the same language," turning a massive blind spot into a rich engine of security telemetry and visibility into everything from each user action to specific activities into their device posture while executing a particular activity..

True workspace security requires a unified defense system that understands exactly how web activity can impact the host device. This first-of-its-kind integration achieves this through three fundamental pillars:

1. Find the Root Source of Attacks in Seconds

Integrating Prisma Browser with Cortex XDR connects comprehensive endpoint visibility with deep web context. By seamlessly linking endpoint process execution directly to browser events and host execution, Cortex XDR provides an unprecedented unified data foundation that allows SOC teams to analyze complete attack narratives rather than isolated, disjointed issues.

SOC Teams Get Insights Into Attack Scenarios with Prisma Browser Investigation Panel

Scenario: Unmasking Phishing and Malware Narratives

When a malicious payload executes on an endpoint, traditional tools show the threat on the host but leave analysts guessing the source of the attack. By correlating Prisma Browser events directly with Cortex XDR eliminates this guesswork. Analysts can effortlessly trace a malware alert back to the exact phishing URL, original download source, or hidden iFrame metadata, uncovering the precise forensic root cause in seconds while easily dismissing false positives.

2. Respond Without Disrupting Business

Traditional XDR tools often need to disconnect a device to mitigate a threat. While effective at stopping lateral movement, it severely disrupts user productivity and halts business operations. The integration of Prisma Browser and Cortex XDR introduces granular, precision control.

For example, when a rogue browser extension attempts to compromise a web session, traditional tools are forced to isolate the device, forcing the employee offline, and disrupting daily operations. The integration of Prisma Browser and Cortex XDR introduces surgical containment instead. The threat is instantly neutralized and terminated only at the browser layer while simultaneously alerting Cortex, allowing the employee's laptop to stay completely online and productive.

3. Detect Evasive Threats in Real Time

Prisma Browser uses a pioneering approach to analyze activity in real time, detecting threats as they happen. This ensures that even the most sophisticated, evasive threats, such as rogue extension behavior or malicious script execution, are identified and flagged in real-time within your Cortex dashboard.

4. Securing GenAI Use Cases:

As employees rush to adopt GenAI tools, critical risks emerge, such as an engineer copying proprietary source code and pasting it into an unapproved, public AI model to fix a bug. To traditional XDR, this looks like safe, standard web traffic. Prisma Browser solves this by monitoring user behavior inside the workspace to automatically detect and block data loss prevention (DLP) violations in real time. Because it connects natively to the Cortex tenant without complex APIs, shadow AI risks are instantly flagged in the SOC dashboard before they turn into major compliance issues.

Future-Proof Your Workspace Security

Security operations can no longer afford to leave the browser unmonitored. By bridging the gap between what happens in the browser and activities on the endpoint, the integration of Prisma Browser and Cortex XDR accelerates investigation times, exposes hidden threats, and allows your SOC to respond with unprecedented precision.

New to Prisma Browser? Talk to your account team

The post Bridging the Gap: An Unprecedented Approach to Browser and Endpoint Security appeared first on Palo Alto Networks Blog.

As AI adoption shifts from experimental tools to the business core, enterprises are deploying AI agents and assistants across every department. Developers are accelerating software delivery with Claude Code and business functions are collaborating in Claude.ai, Claude Cowork, and Claude Design, using Anthropic's Claude to fundamentally rewire how they operate and drive complex, autonomous workflows across their most critical tasks.

Broad AI adoption has forced enterprise security into a difficult paradox: secure the business without stalling innovation. Today, security teams must answer three critical questions: How do we prevent sensitive data from leaking into AI models? How do we intercept runtime attacks, like prompt injection, before they execute? And how do we enforce these guardrails consistently across every AI interaction, in real-time?

We are thrilled to announce that Palo Alto Networks Prisma AIRS API now directly integrates with Claude Enterprise via inference hooks.

Key Takeaways:

• Synchronous Governance at the Speed of AI: Enforce critical runtime policy guardrails instantly before model inference occurs. By evaluating every Claude interaction in real-time, security teams can confidently enable high-speed AI innovation without introducing unacceptable risk or operational bottlenecks.
• Extending Proven DLP to AI Workflows: Safeguard PII, intellectual property, and proprietary code across all Claude environments (Claude Code, Claude.ai, Claude Cowork) seamlessly. By directly leveraging your organization’s existing enterprise DLP policies, you get consistent, unified data protection without the friction of managing disparate rule sets.
• Neutralizing AI-Specific Threats Proactively: Deploy enterprise AI with confidence by intercepting malicious activity before it executes. Proactively block sophisticated runtime threats, including prompt injections, jailbreaks, and toxic inputs, enabling your AI workflows to remain secure and your business operations uninterrupted.

How It Works

Setting up zero-trust governance for your Claude Enterprise environment takes just a few clicks:

• Configure Claude Enterprise: In your Claude Enterprise organization settings, navigate to inference hooks, set the hook endpoint URL to your designated Prisma AIRS webhook URL, and include your custom Prisma AIRS API key in the custom headers (x-pan-token).
• Activate Cryptographic Verification in Prisma AIRS: Claude generates a unique, one-time signing secret. You simply drop this signing secret into the Prisma AIRS UI.

Prisma AIRS securely stores the signing secret in an encrypted edge Key-Value Map (KVM) to cryptographically verify the authenticity of every incoming request before processing.

Unified Governance Across All Claude Surfaces

Before Claude reads a prompt, Claude POSTs the payload to Prisma AIRS, which evaluates the input against the configured security profile and returns a synchronous allow or deny verdict back to Claude.

Removing the Data Inspection Blind Spot

This Prisma AIRS integration natively leverages the Palo Alto Networks Enterprise DLP engine your organization already runs. Your current policies, custom definitions of "confidential," and compliance dashboards now instantly govern Claude. No redundant rule creation, and no new management overhead. Every prompt is classified in real-time, before anything reaches the model. Data Policy updates reach Claude the moment they reach everything else, and Claude events land in the same dashboards and audit reporting as every other channel. AI stops being the exception to your data protection strategy and becomes just another channel that is covered.

In practice, this helps prevent:

• Accidental exposure of PII and regulated data: a Social Security number, card number, or patient record pasted into a prompt is detected  on the spot by advanced RegEx patterns and ML classifiers,  with Exact Data Matching (EDM) recognizing your actual customer records.   When policy requires, Prisma AIRS enforces a deny policy to help keep Claude usage stays aligned with GDPR, HIPAA, and PCI-DSS requirements.
• Misuse of credentials in code: Developers working in Claude Code can't inadvertently submit hardcoded API keys, private tokens, or environment credentials into prompt context.
• Disclosure of confidential business matters. Document classifiers flag prompts touching M&A, legal, or HR material — even when they contain no identifier a pattern could match.

AI Safety & Runtime Threat Protection

Simultaneously, Prisma AIRS inspects payloads for operational risks specific to large language models:

• Prompt Injection & Jailbreak Attacks: Intercepts malicious attempts to manipulate model context or bypass system instructions.
• Malicious Code & Malicious URLs: Prevents execution or processing of untrusted scripts and risky links embedded within prompts.
• Toxic Content & Topic Guardrails: Enforces compliance with corporate policies and custom business topics.

If a prompt violates your security policy, Prisma AIRS issues a deny verdict. Claude immediately blocks the prompt, optionally presenting a user-facing explanation while returning a unique audit correlation code to your security telemetry dashboards.

Deploy Claude Without the Risk

The Prisma AIRS integration with Claude transforms security from a deployment bottleneck into a business enabler. You no longer have to choose between the operational control of Palo Alto Networks and the cognitive velocity of Claude.

Choose Your Path Forward:

• Attending Black Hat 2026? Stop by the Palo Alto Networks booth to check out the Prisma AIRS live demo.
• Ready to secure your Anthropic rollout? Contact Prisma AIRS AI Security Experts to discuss your specific governance and deployment needs.
• Ready to build? Visit the Prisma AIRS Documentation to connect your Claude inference hooks in minutes.

 

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Forward-Looking Statements

This blog contains forward-looking statements that involve risks, uncertainties and assumptions, including, without limitation, statements regarding the benefits, impact, or performance or potential benefits, impact or performance of our products and technologies or future products and technologies. These forward-looking statements are not guarantees of future performance, and there are a significant number of factors that could cause actual results to differ materially from statements made in this blog. We identify certain important risks and uncertainties that could affect our results and performance in our most recent Annual Report on Form 10-K, our most recent Quarterly Report on Form 10-Q, and our other filings with the U.S. Securities and Exchange Commission from time-to-time, each of which are available on our website at investors.paloaltonetworks.com and on the SEC's website at www.sec.gov.  All forward-looking statements in this blog are based on information available to us as of the date hereof, and we do not assume any obligation to update the forward-looking statements provided to reflect events that occur or circumstances that exist after the date on which they were made.

The post Prisma AIRS - Unified Data Protection for Claude appeared first on Palo Alto Networks Blog.

Modern enterprise security is at a pivotal moment where CIOs and CISOs have a clear opportunity to build a cybersecurity architecture for both today’s environment, and for the future. Doing so requires redefining enterprise resilience across three critical dimensions. 

First, Frontier AI driven threat velocity and novelty. Frontier AI models have automated the entire attack lifecycle. Adversaries aren’t just compressing exploit windows to near-zero timelines, they are also generating novel, highly evasive threats at machine speed, bypassing traditional signatures and often before patches are generated. 

Second, surging network traffic is overwhelming traditional defenses. Driven by AI workloads, inter-datacenter traffic will nearly triple¹ over the next decade dramatically expanding the volume of data teams must inspect and secure. 

Finally, major shifts are forcing a “cryptographic reset.” Shrinking certificate lifecycles, internet-scale distrust events, and quantum computers powerful enough to crack public key cryptography are combining to shake the foundation of all digital communications. 

Meeting these challenges requires more than incremental fixes. Today, we are proud to introduce PAN-OS 12.2 Ceres, a landmark release representing a major leap forward in network security. 

Ceres brings to market 55+ innovations, including three flagship, core capabilities, designed to shift the balance of power back to defenders.

Introducing Frontier Virtual Patching: Preemptive Defense Against Frontier AI Exploits

Today, Palo Alto Networks is giving defenders the ultimate advantage with the launch of Frontier Virtual Patching. By harnessing Frontier AI to discover unknown vulnerabilities, and deploying protections in hours, we are collapsing the exposure window from the industry-average 55 days² it takes to deploy a traditional patch down into a near-zero window of exposure. This isn’t just about faster patching; it’s about eliminating the attacker’s chance by neutralizing exploits before they ever reach your network.

The new reality: Exploitation far outpaces patch deployment

We’ve built this capability as a collaborative, force-multiplying ecosystem, with our industry partnerships across the enterprise software and OT vendor landscape to accelerate vulnerability disclosure, remediation and customer protection. This includes our collaboration with Project Lightwell, which combines our rapid network-level protection with software remediation to help organizations reduce exposure to emerging threats. We’re also partnering with vulnerability clearinghouses, software maintainers, and industry initiatives to continuously expand a real-time pool of protected vulnerabilities.

This approach builds on recent Unit 42 research, where the autonomous AI system NOVA identified more than 14,000 previously unknown vulnerabilities in just two months – a clear signal that defenders must pair AI-powered discovery with equally fast, coordinated protection. We have built an all-new detection engine, “vaulted protection," that enables us to deliver these rapid protections in a safe and responsible manner. When one participant identifies a threat, the entire ecosystem is protected instantly. Individual discovery becomes global protection. 

This is especially valuable for operational technology (OT), critical infrastructure, healthcare, and IoT: environments where systems can’t be taken offline to patch, where patch cycles can stretch for months, and where a single unpatched device can expose an entire network. Frontier Virtual Patching closes that gap in the network, blocking the exploit without applying a patch, rebooting a system, or causing any downtime to critical operations.

Bad actors will lean into Frontier AI to reduce the attack lifecycle from months to minutes. To keep pace, organizations require security partners to match that machine speed. To this end, Palo Alto Networks is raising the bar with its Frontier Virtual Patching, moving beyond compensating controls. By safely and efficiently discovering undisclosed vulnerabilities and deploying protection long before traditional patches can be rolled out, Palo Alto Networks deep security capabilities are flipping network defense from a reactive to proactive operational model.

Will Townsend
Chief Analyst, LoneStar Advisory & Research

And for existing Palo Alto Networks network security customers, getting started is effortless.  Frontier Virtual Patching is available as a PAN-OS software upgrade with persistent, automatic content updates, so protections keep arriving as new threats emerge, with no new hardware and no manual intervention. 

Clearly, Network Security is evolving quickly. Frontier Virtual Patching is part of a huge set of innovations that the team at Palo Alto Networks is delivering in PAN-OS Ceres 12.2 to enable you to stay protected.

Advanced IP Defense: Blocking attacker infrastructure before they can strike

Modern threat actors continuously work to hide their attacks and evade existing controls. Adversaries are increasingly evading traditional perimeter detection of their command-and-control traffic by leveraging direct-to-IP connection techniques that bypass DNS and URL inspection entirely. Attackers are also weaponizing massive proxy networks and hundreds of thousands of residential IP addresses to conduct stealthy, large-scale scanning, brute-force attacks, and exploitation that bypass traditional defenses such as IP reputation and blocklists.

To counter this, Palo Alto Networks is introducing a new preventative solution, Advanced IP Defense, with three powerful new capabilities:

• Real-time IP-layer intelligence. We leverage global telemetry from over 70,000 customers to track and block attacker infrastructure inline across the entire attack lifecycle. Our researchers track these threats 24/7, so your team doesn’t have to.
• Zero-Trust IP enforcement. We don’t just look at an IP’s past reputation. We verify the intent of the connection itself. By validating that every network connection maps to a legitimate DNS resolution, we provide a critical guardrail against attackers attempting to evade detection.
• Powerful IP-layer context. We continuously monitor every connection across more than 40 distinct security attributes, letting you proactively shrink your attack surface and block high-risk traffic from the internet’s “bad neighborhoods” with confidence.

The transition to the Frontier AI era isn't a distant future. It’s happening right now. The organizations that thrive won't be those trying to run old, reactive playbooks faster; they have to scale their defenses to match a whole new velocity of risk. When threats occur at machine speed, relying on human-scale operations is no longer an option. That is why AI and automation are becoming essential tools to meet these challenges head-on.

Varinder Singh
CIO, NXP Semiconductors

Network Security Agents: Making admins superhuman

When threats execute in minutes, human-only operations become a bottleneck. To reduce fatigue and accelerate response, we’re launching an elite suite of AI agents for every major role a network administrator performs.

These six specialized AI-powered Network Security Agents, available through Strata Cloud Manager, are trained on your enterprise context and operational workflows. From onboarding and configuration to threat assessment and troubleshooting, they automate the hundreds of routine, repetitive tasks that consume an admin’s day. And you stay in control: for each workflow, you choose the level of oversight that matches your risk tolerance — human-in-the-loop, human-on-the-loop, or human-out-of-the-loop.

Expanding platform protection across every edge

Securing the modern enterprise means extending these AI-powered capabilities across every surface, from data center cores to remote industrial sites, and from custom AI applications to the web browser.

Today we’re introducing PAN-OS Ceres 12.2, which, in addition to the innovations above, expands our platform across five more areas:

• Quantum-safe & next-generation trust security. Automates digital certificate lifecycle management and accelerates post-quantum cryptographic readiness, including a cryptographic inventory spanning network security, endpoint, SIEM, and vulnerability management integrations for a complete view of enterprise readiness.
• 5th-generation ML-optimized hardware. New high-performance PA-Series firewalls equipped with 400G interfaces, and 300 Gbps of threat inspection, and active clustering, these platforms eliminate capacity limits for AI-era data centers. These firewalls also  scale to 1.4Tbps of throughput while delivering 5-microsecond latency ensuring peak performance. 
• Modernized OT & critical infrastructure defense. Purpose-built PA-50R ruggedized 5G firewalls that extend real-time, AI-powered threat prevention to remote, extreme-environment OT networks and critical infrastructure.
• AI and agent security. Prisma AIRS is now delivered as a scalable, cloud-native service explicitly engineered to secure AI models, applications, and autonomous agent workflows. The same platform on which we built CloudNGFW has now been extended to provide security for AI with the addition of Prisma AIRS.
• Browser-to-firewall integration. Imagine the browser as a secure fast-lane that doesn’t just protect users, it empowers them. By integrating Prisma Browser with our NGFWs, we’ve eliminated the need to decrypt on the endpoint while delivering full Layer 7 protection. This is proactive security that neutralizes threats before they can even touch your network. For security admins, policy is fully unified from device to network, delivering a streamlined, automated experience.

The path forward

We are investing heavily in the innovations you need to defeat today’s threats while future-proofing your enterprise for tomorrow.

The transition to the Frontier AI era demands a bold strategy. The winners will be the organizations that adopt a prevention-first architecture capable of stopping threats long before weaponization occurs. With PAN-OS Ceres 12.2, Palo Alto Networks is giving defenders the speed, scale, and platform foundation to turn the tables on modern adversaries.

 

Forward-Looking Statements 

This blog contains forward-looking statements that involve risks, uncertainties and assumptions, including, without limitation, statements regarding the benefits, impact, or performance or potential benefits, impact or performance of our products and technologies or future products and technologies. Any unreleased services or features (and any services or features not generally available to customers) referenced in this or other press releases or public statements are not currently available (or are not yet generally available to customers) and may not be delivered when expected or at all. Customers who purchase Palo Alto Networks applications should make their purchase decisions based on services and features currently generally available.

 

​​Sources: 
1 https://www.nokia.com/artificial-intelligence/explainer-network-traffic-is-fundamentally-changing-in-the-ai-supercycle/
2 According to the Verizon 2024 Data Breach Investigations Report

 

The post Redefining Network Security for the Frontier AI Era appeared first on Palo Alto Networks Blog.

Our mission is to be the cybersecurity partner of choice, protecting our digital way of life. Fulfilling that mission demands that we continually ensure our customers’ trust and instill confidence in our commitments.

In continuing to elevate global data trust, we have obtained both the Global Cross-Border Privacy Rules (CBPR) Certification and the Global Privacy Recognition for Processors (PRP) Certification.

These systems were originally established under the Asia-Pacific Economic Cooperation (APEC) Privacy Framework and expanded by the Global CBPR Forum. Through independent third-party audits, these globally recognized credentials validate that our data privacy practices meet rigorous international privacy standards.

These milestones join our existing portfolio of privacy and security certifications, reinforcing our ongoing commitment to responsible, accountable cross-border data protection.

To learn more, see the following resources:

• Global CBPR Forum Privacy Certifications
• Palo Alto Networks Global CBPR and PRP Certification Whitepaper
• Palo Alto Networks Trust Center

The post Palo Alto Networks Achieves Global CBPR and PRP Certifications appeared first on Palo Alto Networks Blog.

Every modern enterprise is moving from an organization run by software to one orchestrated by AI, creating a tension between velocity and control. To resolve this tension, organizations require a unified architecture. Today, we are announcing the general availability of the Prisma AIRS AI Gateway, the AI control plane for the enterprise. 

Driven by the absolute conviction that an AI Gateway is foundational to the modern AI infrastructure stack, we are bringing AI innovations from the Portkey acquisition to Prisma AIRS just six weeks after closing. You can now scale AI at machine speed without compromising on enterprise-grade security and control.

Your AI Footprint is Outpacing Controls

Our next-generation firewall telemetry reveals that MCP activity climbed from 11% late last year to 41.4% by mid-2026. Monthly AI transaction volume grew twelve-fold over the same six months; some individual sessions moved hundreds of megabytes of enterprise data outbound. The AI footprint you can govern today is the smallest it will ever be.

Some of the most rapid AI adoption is happening with – coding assistants, enterprise agents and copilots.

• Coding agents access code repositories, file systems, configurations, and credentials. When this context, including source code and secrets, is sent to a frontier model, it risks exposing sensitive data, and a runaway loop could burn a fortune in tokens overnight.
• Enterprise agents run with broad access and standing privileges sharing context with each other. A single agent stretched beyond its scope can massively increase the risk of data breach, impact business reputation and customer trust.
• Copilots now sit inside the SaaS and productivity tools employees already use. Copilots with broad access can surface data an employee was never meant to see.

As this enterprise data leaves when an AI request goes out, it creates a security and governance challenge at an unprecedented scale and speed.

What breaks when every team adopts AI 

AI adoption rapidly outpaces the security and governance infrastructure meant to secure it:

• Shadow AI (Cost and usage are both hidden): You can't see the AI your teams already use or what it costs. 
• Data Exposure (Sensitive data leaves without a trace): AI interactions can expose sensitive data, bypass policy and trigger unsafe outputs.
• Agents Overstep (Actions run without accountability): Agents act across systems without clear identity, permission, or accountability. Keys get shared and agents run with broad, standing privileges, so no one can say which identity authorized a specific action or reverse it when an agent takes a wrong turn at machine speed.

Faced with this, most leaders either block traffic entirely or stay permissive and promise to govern later. Both approaches fail because they skip the critical step: seeing what agents do at runtime and controlling their actions while they happen.

Accelerate AI Adoption with Control

To scale AI adoption safely, you need a single control plane sitting between every AI interaction and the backend models. Prisma AIRS AI Gateway brings AI governance, identity and runtime controls together in one place. With the AI Gateway, you can:

• Discover AI usage: Know exactly which apps, models, users, teams and agents are active, what they are accessing, and what they cost in a single unified view.
• Govern AI interactions: Enforce central rules for model access, tool use and budgets while inspecting prompts and responses inline to prevent data leaks.
• Secure every agent: Verify agent identities and enforce just-in-time, least-privilege access so autonomous systems only touch what they need, when they need it.

How the AI Gateway works 

Prisma AIRS AI Gateway sits inline between every AI interaction, model provider, and agentic interaction (Agent/AI App to LLMs, MCP Tool Calls, and A2A). It acts as a unified LLM, MCP, and A2A Gateway with a single enforcement point for all operational and security controls. Your teams keep using their existing coding assistants, enterprise agents, and copilots, while enforcement moves to the infrastructure layer where the platform team can own it.

Capabilities delivered through this unified control plane are:

Observability

Every request maps to a single unified view: tracking usage, users, projects, token counts, latency and cost so you can retire shadow AI infrastructure immediately.

Governance

Centrally define approved models, tools, and access without touching developer configurations. To drive FinOps and usage management, track every request's cost, tokens, and latency by team or project. Answer cost questions instantly, shut down unsanctioned AI usage, and proactively enforce budgets and rate limits before access is granted.

Coding Assistant Security

Protect credentials, proprietary code and development systems from risky AI actions. The gateway replaces raw provider keys with scoped credentials per user and team.

Operational Controls

Apply data protection, usage limits and policy checks as AI interactions happen. Traffic distributes via a Universal API across providers ensuring quotas are enforced and outages never stall your pipeline.

Agent Identity Security

Establish trusted identities by binding a verifiable, ephemeral identity to agents at execution. The AI Gateway acts as an enforcement point to enable only authenticated agents to make approved calls.

Runtime Security 

Powered by Prisma AIRS AI Runtime Security, the gateway inspects every prompt and response inline, stopping source code, secrets and customer data from leaving the network while neutralizing prompt injection attempts aligned with the OWASP LLM Top 10 and OWASP Top 10 for Agentic Applications.

Watch Anand Oswal break down why an AI gateway is foundational to this architecture.

The AI Control Plane for the Enterprise

Prisma AIRS AI Gateway brings AI governance, identity and runtime controls together in one place. Point products filter text strings or route a single API call and they buckle under real enterprise volume.
Most products fail at scale. Prisma AIRS AI Gateway is built on an architecture tested in the most demanding enterprises for their ever evolving AI workloads: 

• 68 Trillion+ tokens processed in the last month alone.
• Sub-millisecond routing latency and inline inspection secures AI interactions without degrading user experience.
• 99.999% availability helps ensure your AI operational pipeline does not experience a single point of failure.

Learn about Prisma AIRS AI Gateway and register for our webinar to see the AI Gateway in action. 

Your developers have already adopted their agents. The agentic enterprise is a reality. As the recently named "company to beat" in AI Security Platforms by Gartner, Palo Alto Networks is uniquely positioned to help you. Let’s build it securely, together.

The post Announcing the General Availability of Prisma AIRS AI Gateway appeared first on Palo Alto Networks Blog.

By Yogesh Ranade from Palo Alto Networks, and Senthil Ramakrishnan from AT&T

The digital world is currently navigating a dual-speed revolution. Acceleration of AI and hyperconnectivity is unlocking unprecedented economic value. The silent but rapid progress of quantum computing is fundamentally threatening the cryptographic foundation upon which that value is built.

As leaders in global networking and cybersecurity, Palo Alto Networks and AT&T Business launched Secure Connectivity solutions for Business Customers. We recognize that quantum-readiness is no longer a distant milestone; it is now a strategic imperative. With threatening data longevity and Trust Now, Forge Later targeting digital identities, the risks are already looming. 

By integrating Prisma SD-WAN’s cryptographic innovation with AT&T’s global network, Palo Alto Networks and AT&T Business are proud to deliver the Quantum-Resilient SASE Fabric.

The Quantum Shift Towards Building Resilience for Tomorrow’s Reality

For over 30 years, the difficulty of mathematics has been our primary defense. Classical algorithms, like RSA and Diffie-Hellman, provided the shield for our global economy because they were computationally impossible for classical machines to solve. However, quantum computing fundamentally changes this landscape by providing an exponential speed-up. By leveraging Shor’s Algorithm, quantum computers can break these classical cryptographic foundations, turning a decryption process that would take a classic supercomputer millennia into a task of mere hours.

Neutralizing the Quantum Crisis

Palo Alto Networks is embedding Post-Quantum Cryptography (PQC) as a native pillar of the Prisma SASE fabric. We are moving beyond the forklift-upgrade model to a software-defined, standards-based foundation, which is built on strict separation of management and data plane components:

• Universal Control Plane Hardening (TLS 1.3): We have transitioned all control plane traffic to TLS 1.3 (Transport Layer Security 1.3), the global gold standard for Internet encryption. This secures the "brain" of the network (where routing configurations and security policies are managed), making it immune to quantum-enabled impersonation and credential theft.
• PQC-Hardened Data Plane (IETF Standards): We are operationalizing PQC across the entire fabric by adopting official standards published by the Internet Engineering Task Force (IETF), specifically RFC 9370, 9242, and 8784. In plain terms, these standards allow us to use "hybrid key exchanges." This means we wrap your data in two layers of protection at once: a classical mathematical shield for immediate compatibility, and a quantum-resistant shield to protect against future decryption threats, all without causing packet fragmentation or network slowdowns.
• Logs and Telemetry Plane: All network telemetry and metadata (the automated operational logs and traffic pattern data generated by the network, rather than the actual content of your business files) are encrypted in transit via TLS 1.3. This architecture guarantees that even this secondary network metadata is geofenced to your chosen region with no cross-region aggregation, satisfying the most stringent data residency mandates.
• Crypto-Agility as a Standard: "Crypto-agility" is natively built into our systems, which means the software is designed to adopt new mathematical algorithms. As the National Institute of Standards and Technology (NIST) refines its guidelines, our systems can be upgraded seamlessly via simple, automated cloud updates without requiring expensive hardware replacements to ensure our customers’ security posture.
• Secure Boot Support: Palo Alto Networks Prisma SD-WAN ION hardware supports Secure Boot to ensure that only cryptographically signed bootloaders, kernels, and trusted applications are executed during the boot process. This establishes a chain of trust from the BIOS firmware to the operating system, preventing the execution of unauthorized or tampered software. ION hardware appliances ship with an integrated, dedicated Trusted Platform Module (TPM), which provides hardware-level root-of-trust by securely storing cryptographic keys, certificates, and sensitive data to prevent unauthorized physical tampering and ensure secure device authentication. The OS/software layers use PQC algorithms to negotiate and secure the management, control plane and data plane tunnels. This ensures quantum readiness without requiring an immediate, widespread rip-and-replace of physical branch hardware.

The AT&T Perspective Views Security at Global Scale

From the perspective of a global leader like AT&T, PQC is an operational mandate. Providing connectivity to the world’s most regulated industries means that security cannot be bolted on. Security must be an inherent property of the transport layer and the connectivity infrastructure itself.

Turning Complexity into a Strategic Advantage

Managing a global footprint that spans across 5G, fiber, and legacy underlays requires an institutional expertise that few can match. For AT&T, the move to a more secure quantum-ready fabric with Dynamic Defense is about providing security where it matters most: the network. Our customers shouldn't have to worry about whether their data is traveling over an MPLS circuit or the public internet.

Through this collaboration, AT&T expands the delivery of Dynamic Defense:

• Cross-Underlay Consistency: We enable PQC protection to be applied uniformly across all transport mediums, eliminating the "weak links" that often exist in hybrid environments where data moves between private and public circuits.
• Automated PQC Policy Orchestration: New branch locations are seamlessly integrated into the quantum-ready fabric through automated policy distribution. The moment a device is activated via zero touch provisioning, the branch is enabled to be protected against HNDL threats from the first packet without requiring manual site-by-site intervention.
• Compliance: With mandates like NIS2/DORA in Europe and NORA/CNSA 2.0 in the U.S., our clients face a closing window for compliance. AT&T provides the verifiable chain of trust required to prove "Quantum Readiness" across the entire circuit path, ensuring your fabric is audit-ready and compliant with global standards.

The Power of the Post-Quantum Secure Fabric

The true value of this relationship lies in the synergy between the network and the security stack. By combining our strengths, we have built a solution that is significantly more resilient than the sum of its parts.

The SPI Advantage Is Performance Without Compromise

Through Service Provider Interconnect (SPI), Palo Alto Networks' security platforms natively integrate with AT&T’s private network core to deliver a seamless quantum-safe on-ramp. This means business traffic can connect directly to a secure AT&T network without having to build slow, complex software tunnels over the public internet, preserving high performance while delivering next-generation encryption. Historically, high-level encryption meant a "performance tax" on latency and throughput. Our combined architecture allows quantum-safe traffic to flow over AT&T’s network backbone, enabling organizations to modernize their security without sacrificing the user experience.

Securing the Decentralized Perimeter (The Branch as the Edge)

In today’s highly distributed business landscape, the traditional corporate "headquarters" is no longer the center of gravity. The network perimeter has shifted to the branch (decentralized edge locations like retail storefronts, remote clinics, regional bank offices, and warehouse hubs) and the individual 5G-connected devices employees use. Securing these remote, local edge points is critical because they represent the primary gateway where sensitive company data first enters the network. 

By utilizing AT&T’s leadership in WAN, 5G and cellular technologies, we leverage Hybrid Public Key Infrastructure (PKI) to secure these edge locations. Hybrid PKI is a digital identity framework that issues dual security credentials to every device: one "classical" identity to ensure compatibility with existing networks today, and one "quantum-resistant" identity. This double-verification guarantees that a cellular-connected remote branch or a mobile site is just as immune to quantum decryption or identity spoofing as a fortified corporate data center.

The Path Forward Is a Vision for Long-Term Trust

The transition to a quantum-ready future is a marathon, not a sprint, and the first steps must be taken now. Palo Alto Networks and AT&T Business are offering a clear, practical path to quantum resilience.

We are delivering more than a simple software update as we prepare customers for the next generation of digital commerce. Together, we are designing our network to help ensure the data of today remains protected against the threats of tomorrow, securing the digital integrity of every enterprise we serve.

As we redefine the boundaries of security in connectivity, we invite you to join us in helping secure your organization’s digital future. Contact your or Palo Alto Networks account representative today to begin a strategic Quantum-Readiness Assessment and experience the power of the Quantum-Resilient SASE Fabric.

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