Forging Secure AI Threat Protection for Singapore

Singapore is currently undergoing a decisive transition toward an AI-enabled economy. National initiatives are focused on driving large-scale transformation through the National AI Missions and integrating advanced technologies, including generative AI and autonomous agents across key sectors. This rapid technological evolution, however, also introduces a sophisticated threat landscape characterized by AI-specific risks, like prompt injection, model manipulation and sensitive data leakage. As enterprises scale AI adoption, the need for robust, AI-native and locally hosted cybersecurity solutions becomes essential to ensure data residency, regulatory alignment and operational resilience.

Strategic Imperatives for an Emerging AI Security Landscape

Singapore’s highly integrated digital ecosystem presents both significant opportunities for leadership as well as distinct security challenges. As the nation executes its National AI Strategy 2.0, the focus has shifted from high-level experimentation to the pervasive deployment of AI across the economy. This evolution requires a security posture that is not only AI-native but locally grounded to satisfy the data residency expectations of a global financial and innovation hub.

Palo Alto Networks is pleased to announce a strategic investment designed to enhance Singapore’s cyber resilience – the establishment of our new cloud landing for Prisma^® AIRS. This launch demonstrates a commitment to providing organizations in the region with an AI-powered cybersecurity platform that aligns with the National AI Council’s whole-of-government mission. This initiative optimizes operational efficiency and facilitates the secure adoption of advanced digital transformation projects, allowing organizations to Deploy Bravely.

Comprehensive AI Security Platform

The new regional expansion in Singapore now hosts Prisma AIRS, our most comprehensive AI security platform, specifically engineered to deliver robust security across the entire AI lifecycle. This localized landing provides Singaporean organizations with domestic, high-performance access to critical AI security capabilities:

AI Model Security
Enable the safe adoption of third-party AI models by scanning them for vulnerabilities and secure your AI ecosystem against risks, such as model tampering, malicious scripts and deserialization attacks.

AI Red Teaming
Uncover potential exposure and lurking risks before bad actors do. Perform automated penetration tests on your AI apps and models using our Red Teaming agent that stress tests your AI deployments. Our agent learns and adapts like a real attacker.

AI Runtime Security
Protect your LLM-powered AI apps, models and data against runtime threats, such as prompt injection, malicious code, toxic content, sensitive data leaks, resource overload, hallucinations and more.

AI Agent SSPM (SaaS Security Posture Management)
Secure AI agents (including those built on no-code/low-code platforms) against new agentic threats, such as identity impersonation, memory manipulation and tool misuse.

Commitment to Singapore's AI Future

Our new region expansion into Singapore signifies the long-term commitment of Palo Alto Networks to the nation’s digital transformation journey and its cybersecurity resilience. By bringing advanced, AI-native platforms closer to regional organizations, Palo Alto Networks helps enterprises achieve data residency and national data sovereignty needs, enhance performance and strengthen security posture. This localized presence simplifies operations and accelerates the safe adoption of generative AI and agentic workflows.

As Singapore continues its trajectory toward an AI-driven and secure future, Palo Alto Networks stands as a trusted partner, empowering organizations to innovate and thrive securely within an evolving threat landscape. The establishment of this new cloud landing reinforces the ongoing promise to deliver the best-in-class cybersecurity platforms that the country requires to lead on the global stage.

Please visit the regional cloud locations of Palo Alto Networks for more information.

The post Announcing Prisma AIRS Availability in Singapore Region appeared first on Palo Alto Networks Blog.

A Pivotal Moment for National Security

As the digital landscape undergoes profound shifts, the recently released National Cyber Strategy provides the essential foundation for enduring American leadership. By prioritizing the disruption of hostile actors, future-proofing networks, accelerating quantum readiness, and securing the AI frontier, the strategy provides the strategic clarity necessary to protect our digital way of life from sophisticated adversaries. Palo Alto Networks commends National Cyber Director Sean Cairncross for his leadership and looks forward to working with the administration to operationalize this strategy.

Each pillar of the strategy galvanizes meaningful action to advance our collective defense:

Shape Adversary Behavior (Pillar 1)

This signals a decisive shift toward the proactive disruption of malicious actors. The Trump Administration has made clear that the U.S. Government should impose real costs on adversaries to change their behavior. While the private sector is already executing discrete disruptions against malicious actors, coordination has historically been fragmented. The strategy identifies that increased collaboration with private sector entities, who possess unique insight into adversary behavior, can in turn enable more impactful deterrence.

Promote Common Sense Regulation (Pillar 2)

The strategy appropriately recognizes that complexity is the enemy of security. A focus on measurable improvements in cyber outcomes (versus check-the-box compliance exercises) collectively makes us all safer. While much attention is rightfully paid toward harmonizing incident reporting requirements, which Palo Alto Networks wholeheartedly supports, let’s not stop there. The federal government can lead by example by consolidating and streamlining federal government software compliance certifications. For example, there should be logical reciprocity between FedRAMP High and DoW IL-5 certifications.

Modernize and Secure Federal Government Networks (Pillar 3)

In addition to the necessary attention on AI-powered cyber defense, cloud security and zero trust network architecture, Palo Alto Networks applauds the discrete focus on quantum-safe security ahead of “Q-Day,” the point where quantum computing capabilities will compromise legacy public key encryption that has underpinned cybersecurity for decades. As Federal CISO Mike Duffy recently stated, "Modernization without considering PQC readiness or cryptographic agility is really creating technical debt in the future, something that we don’t want to see ever.”

To address this challenge, Palo Alto Networks provides a structured quantum-safe framework organized into four stages:

• Continuous Discovery – Automating ecosystem ingestion to identify cryptographic dependencies.
• Risk Assessment & Prioritization – Evaluating vulnerabilities to establish a data-driven remediation roadmap.
• Comprehensive Remediation – Executing the transition to post-quantum algorithms across the architecture.
• Governance & Crypto-Hygiene – Maintaining long-term visibility and management.

The bottom line is that 2035 is too late. Quantum readiness must accelerate today, and this strategy will set a critical North Star to drive the necessary urgency.

Secure Critical Infrastructure (Pillar 4)

Critical infrastructure resilience is central to our homeland security, economic security, public health and safety. Unfortunately, critical infrastructure entities are increasingly under assault from emboldened cyber adversaries.

In fact, Palo Alto Networks research shows some form of operational disruption in up to 86% of major cyber incidents. Our 2026 Global Incident Response Report underscores another sobering reality: These entities are under assault from all angles. In 87% of cyber incidents, attacks targeted multiple attack surfaces, which spanned the network, cloud, endpoints and identity.

Recognizing that you can’t secure what you can’t see, we need a national-level effort to identify, prioritize and harden the critical infrastructure that the American people depend upon. This strategy puts an important marker in the ground to revitalize those efforts.

Sustain Superiority in Critical and Emerging Technologies (Pillar 5)

Palo Alto Networks was pleased to see the strategy reinforces the core tenets of the AI Action Plan, emphasizing that "secure-by-design" principles for AI technologies are non-negotiable and that AI adoption and AI security can and must be inexorably linked.

Enterprises should be able to deploy AI confidently without fear of data leakage, model tampering or rogue AI agents. However, despite our research showing an 88% success rate of “jailbreaking” techniques against widely deployed AI models, only 6% of organizations currently have an AI security strategy. It’s time to flip this paradigm and put defenders back in the driver’s seat in this AI-first moment.

To support this emerging consensus around the importance of promoting AI security, we developed the Secure AI by Design Policy Roadmap. This framework provides a four-part construct to evaluate the evolving dimensions of threats to AI systems. Palo Alto Networks is also proud to make its comprehensive AI security suite, Prisma^® AIRS, available to all federal agencies at substantial discounts through GSA’s OneGov Initiative.

Build Talent and Capacity (Pillar 6)

Recognizing America’s cyber workforce as a “strategic asset,” the strategy calls for a pragmatic and accessible pipeline for developing talent. The explicit recognition that we should take advantage of existing avenues across government, industry and academia is important. For example, Palo Alto Networks is proud of the impact of its Cybersecurity Academy – that provides free, NIST Framework-aligned curricula covering essential domains, such as cybersecurity fundamentals, enterprise and network security, cloud security, security operations and the AI/cybersecurity nexus.

Resources like this, and those for other entities, can form the basis of a renewed focus on cyber talent development.

Turning Strategic Vision Into Action

Palo Alto Networks views itself as more than a cybersecurity vendor. We see ourselves as an integrated national security partner of the federal government at a moment when defending our digital way of life demands all of us working together. To that end, we are ready to do our part to turn strategic vision into action.

This strategy should be applauded. Let’s roll up our sleeves and get to work.

The post How the National Cyber Strategy Secures Our Digital Way of Life appeared first on Palo Alto Networks Blog.

Here is an overview of content I published in February: Blog posts:

• Update: rtfdump.py Version 0.0.14
• Update: rtfdump.py Version 0.0.15

SANS ISC Diary entries:

• YARA-X 1.13.0 Release
• Quick Howto: Extract URLs from RTF files

See the agentic SOC come to life at Cortex^® Symphony 2026, the ultimate SOC event.

Today, the Cortex^® platform takes a massive step toward delivering the perfect union of human expertise and agentic AI across all of security operations. Our latest release embeds immersive, context-aware agentic AI across the platform, from code to cloud to SOC, delivering an agentic-first analyst experience for our customers.

With new Cortex AgentiX agents built to tackle more use cases and an expanded AI-ready data foundation, this release slashes response times and redefines what high-efficiency SOC operations look like.

Attack Velocity Has Fundamentally Changed

Not long ago, adversaries took days to move from initial access to impact. Today, they weaponize AI across the attack lifecycle to operate up to 4x faster than just one year ago, executing end-to-end attacks in as little as 72 minutes, according to Unit 42^® research.

These attacks are making manual response obsolete. Teams need the next generation of AI technology that can analyze, decide and act in real time. Our latest innovations, fueled by unified, high-fidelity data, help give defenders the edge they need to outmaneuver modern attacks.

An AI-Ready Data Foundation for the Agentic SOC

Agentic AI depends on data that is fast, flexible and built for scale. Cortex Extended Data Lake (XDL) provides that data foundation for Cortex XSIAM and the broader Cortex platform, serving as a single source of truth for security operations. Built for AI and analytics, it ingests more than 15 PB of telemetry daily across 1,100+ integrations, and is designed to provide the comprehensive data required for effective detection, investigation, and response.

With the introduction of Cortex XDL 2.0, we are revolutionizing how organizations store, access and manage data, enabling new levels of flexibility and control.

New capabilities added with the Cortex XDL 2.0 release:

• Cost-efficient data lake tier that can lower SOC costs with flexible long-term retention for compliance, forensics and investigations.
• Federated search to query distributed data sources without incurring additional ingestion or storage costs.
• Native Chronosphere Telemetry Pipeline integration to filter and route telemetry at the source
• AI-driven parsing that automatically builds production-ready parsers from sample logs using generative AI, removing hours of manual effort and accelerating time to value.

Together, these capabilities power AI agents with critical security signals and give security teams the data they need, when and where they need it, while controlling costs.

Redefining How Analysts Work in the SOC

Cortex introduces an agentic-first analyst experience that embeds advanced AI directly into the analyst’s daily workflow. Designed to reduce investigation time, the elevated experience brings together automatically generated case summaries, visualized issue relationships, and a centralized Resolution Center within a unified case management workspace.

 

AI now spans the Cortex console, allowing context-aware agents to work in real time alongside analysts. Using the Cortex Agentic Assistant, teams can call on agents to plan and execute investigation workflows directly within their cases.

This release also doubles the number of AI agents who are purpose-built for SecOps and Cloud Security. Here are three of the newest additions.

• The Case Investigation agent delivers context-aware assistance that analyzes case artifacts and complex signals to accelerate triage. It recommends next steps, highlights critical evidence, builds AI case summaries, and takes action with analyst oversight.
• The Cloud Posture agent helps teams uncover, triage and resolve misconfigurations and posture risks across cloud environments. It streamlines analyst workflows by proactively prioritizing risk, enriching exposures and applying approved fixes.
• The Automation Engineer agent tackles one of automation’s biggest pain points: Building and maintaining complex workflows. With simple natural language prompts, teams can generate working code and scripts for agents or playbooks.

Our new agentic playbooks bring AI directly into automation workflows, embedding AI tasks that adapt in real time to help teams resolve incidents faster. They automate complex operations, analyze inputs with large language models (LLMs), and produce context-specific outputs.

Matt Bunch, Global CISO, Tyson Foods:

At Tyson Foods, protecting a complex global supply chain in an era of AI-driven threats requires us to move with the same machine speed as our adversaries. By consolidating onto the Palo Alto Networks Cortex platform, we’ve effectively closed the gap between detection and response. The impact has been transformative as we’ve increased our log visibility by 40% while reducing median time to respond by 50%. The agentic capabilities in the platform have allowed our teams to move from manual triage to high-level strategic defense, ensuring our global operations remain resilient and secure.

The Cortex Agentix Platform Has Arrived

The standalone Cortex Agentix platform brings the power of AI to everyone, delivering advanced orchestration and automation for the modern SOC. For Cortex XSOAR^® customers, this marks the natural evolution of our market-leading SOAR platform, now enhanced with agentic intelligence to unlock meaningful productivity gains.

With more than 1,300 playbooks, 1,100 integrations, and built-in MCP support, Cortex Agentix combines over a decade of SOAR leadership with powerful AI capabilities to help security teams operate with greater speed, coordination and efficiency across the SOC.

Securing the Agentic Endpoint

As users increasingly run AI-powered code packages, browser extensions, plugins and more, they are opening the door to a new class of AI-driven threats at the endpoint. That is why we announced our intent to acquire Koi to help secure the emerging agentic endpoint. Once completed, the acquisition will strengthen our visibility and protection at the endpoint, extending our ironclad protection from the SOC to where AI code actually runs.

See the Agentic SOC Take Center Stage at Cortex Symphony 2026

To experience these innovations firsthand, join Lee Klarich, Chief Product and Technology Officer, and Gonen Fink, EVP of Products, alongside other industry leaders at Cortex Symphony 2026, the ultimate SOC event.

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Forward-Looking Statements (unreleased feature only)

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.

The post The SOC Is Now Agentic — Introducing the Next Evolution of Cortex appeared first on Palo Alto Networks Blog.

Palo Alto Networks, ServiceNow, and Bell Canada have come together in a strategic collaboration to build an innovative ServiceNow application that creates an automated bridge between world-class security operations and industry-leading service management.

Large enterprises need robust security at cloud speed, but operational complexity keeps getting in the way. ​​Here’s what that looks like in practice:

• Operations teams juggle multiple dashboards. When an issue surfaces, they are bouncing between the Prisma^® SASE (secure access service edge) console to identify the incident, ServiceNow to log the case, and a customer support portal to escalate the issue. Every handoff inflates MTTR (mean time to resolution) and introduces room for error.
• Customers are stuck in a deployment purgatory. Manual infrastructure configuration, connector setup, and mobile user onboarding can stretch on for weeks or months. Every day spent wrestling with configuration files is a day that value isn’t delivered.
• Multi-tenant management doesn’t scale. If operational overhead grows linearly with each new tenant, the business model ultimately caps itself.

Bell Canada, through its innovative and security-first approach in the Canadian market, is a lighthouse partner that helped pioneer this innovation through its deep engagement with ServiceNow and a strategic partnership with Palo Alto Networks. With a strong focus on delivering exceptional customer value, Bell helped drive the vision for a simplified, scalable approach to SASE management.

Driven by their commitment to service excellence and customer outcomes, Bell worked closely with Palo Alto Networks and ServiceNow on this solution, accelerating customer time to value and simplifying operational complexity. Bell was among the first to champion this vision, acting as a market thought leader and helping shape a new standard for integrated SASE and service management outcomes in Canada.

Large Enterprises and Managed Service Providers can accelerate time to value by automating the entire lifecycle of Prisma SASE, from deployment to ongoing incident response through a newly launched Prisma SASE app on the ServiceNow store. The Prisma SASE app can accelerate MSP service delivery and management, significantly shrinking time to value and thereby positively impacting both top-line revenue and bottom-line EBITDA.

The Prisma SASE Platform Is Accelerating Value through Unified Automation and Platformization

Time to value (TTV) is one of the most critical metrics for IT teams helping customers move forward. With the Prisma SASE app, customers can go from implementation to go-live in just hours. There’s no need to build custom API integrations or take on technical debt for Day 0 to Day N operations. The app automates infrastructure setup, including ZTNA connectors and mobile user workflows, so providers can get their SASE offerings to market faster.

The joint solution eliminates swivel chair operations. Security and network administrators no longer need to toggle between the Prisma SASE console, ServiceNow and support portals. Incident ingestion and management now happen in one place. Incidents stay in sync, manual overhead drops, and mean time to resolution improves. For MSPs, there’s the added benefit: they can create Palo Alto Networks CSP (Customer Support Portal) tickets directly from the ServiceNow SASE app, making incident correlation and troubleshooting straightforward.

Drive Scalable Growth by Automating Cross-Instance Support with Service Exchange

ServiceNow’s Service Bridge is a major unlock for Managed Service Providers scaling their SASE offerings. It automates cross-instance support so critical security incidents and status updates flow between the MSP’s ServiceNow instance and the customer’s ServiceNow instance without manual sync work. This creates operational transparency and a better service experience for customers while MSPs can deliver faster without adding headcount or complexity.

Key Takeaways:

• Rapid Time to Value: Shift from months of manual configuration to hours of automated deployment by leveraging out-of-the-box integrations that eliminate custom R&D and technical debt.
• Unified Operational Excellence: Eliminate "swivel chair" management by unifying incident ingestion, ticket syncing and support portal escalation into a single ServiceNow interface, significantly reducing MTTR.
• SASE at Scale: The Prisma SASE app provides a unified architecture that scales across tenants automatically, ensuring security keeps pace with business growth.

Take the Next Step

As you adopt SASE, take out the complexity of implementation with the Prisma SASE app.

• Download the App: Visit the ServiceNow Store today and download the Prisma SASE app to start automating your deployment.
• Meet Us at MWC: Are you heading to Barcelona for Mobile World Congress (MWC)? Come see these integrations in action. Stop by the Palo Alto Networks booth (Hall 4, Stand D55) for a live demo and to chat with our experts about simplifying your SASE implementation.
• Contact our sales team for any additional questions.

The post A Joint Vision for Simplified SASE Management at Scale appeared first on Palo Alto Networks Blog.

Traditional Security Is Blind to the Agentic Endpoint

Modern endpoints are no longer defined only by executables. Increasingly, endpoint behavior is shaped by non-binary software, such as code packages, browser extensions, IDE plugins, scripts, local servers (including MCP), containers and model artifacts. They are installed directly by employees and developers without centralized oversight. Because these components are not classic binaries, they often fall outside the visibility and control of traditional endpoint security tooling.

AI agents compound this problem. They are legitimate tools that operate with the user’s credentials and permissions, enabling them to read, write, move data and take privileged actions across systems. When compromised or misused, agents become the “ultimate insider.” They can autonomously discover, invoke and even install additional components at machine speed, accelerating risk across an already expanding, largely unmanaged software layer.

Weaponizing Trusted Automation

This is not a future concern. The recent viral emergence of OpenClaw serves as a cautionary tale for the agentic era. Developed by a single individual in just one week, it rapidly secured millions of downloads while gaining broad permissions across users' emails, filesystems and shells. Within days, researchers identified 135,000 exposed instances and more than 800 malicious skills in its marketplace, underscoring how a single unvetted agent can create an immediate, global attack surface.

OpenClaw is not an outlier. Recent research highlights how quickly this risk is materializing:

• Vibe Coding Threats: An AI extension in VS Code was found leaking code from 1.5 million developers. This tool could read any open file and send it back to the developer, collect mass files without user interaction, and track users with commercial analytics SDKs.
• Malicious MCP Server: Koi documented the first malicious Model Context Protocol (MCP) server in the wild. When developers added a specific skill to tools like Claude Code or Cursor, it silently forwarded every email to the plugin creator. What’s more, this capability was added later, after developers had already started using it.

Compounding this risk is the fact that autonomous agent actions are often difficult to trace or reconstruct, leaving Security Operations Centers (SOCs) without the visibility they need when an incident occurs.

A New Category of Protection

Complete endpoint security for the rapidly expanding risk of agentic AI calls for a new category of protection: Agentic Endpoint Security. That’s why we announced our intent to acquire Koi, a pioneer in this space. Koi is designed to eliminate blind spots across the AI-native ecosystem and help organizations govern agentic tools safely.

Its technology rests on three core pillars:

1. See All AI Software – Gain complete visibility into the AI tools, agents and non-binary software running in your environment.
2. Understand Risks – Continuously analyze and understand the intent and risk level of all software and AI agents.
3. Control the AI Ecosystem – Enforce policy in real-time to remediate issues and block risky behaviors.

Securing the Agentic Enterprise

We are convinced that Agentic Endpoint Security will soon become a standard requirement for enterprise security. Upon closing the proposed acquisition, we intend to integrate Koi’s capabilities across our platforms to help our customers secure the AI-native workspace.

The wave of AI agents approaching the enterprise cannot be held back. Instead, we must offer secure tools that enable companies to confidently embrace agentic innovation.

Forward-Looking Statements

This blog post contains forward-looking statements that involve risks, uncertainties, and assumptions, including, but not limited to, statements regarding the anticipated benefits and impact of the proposed acquisition of Koi on Palo Alto Networks, Koi and their customers. There are a significant number of factors that could cause actual results to differ materially from statements made in this blog post, including, but not limited to: the effect of the announcement of the proposed acquisition on the parties’ commercial relationships and workforce; the ability to satisfy the conditions to the closing of the acquisition, including the receipt of required regulatory approvals; the ability to consummate the proposed acquisition on a timely basis or at all; significant and/or unanticipated difficulties, liabilities or expenditures relating to proposed transaction, risks related to disruption of management time from ongoing business operations due to the proposed acquisition and the ongoing integration of other recent acquisitions; our ability to effectively operate Koi’s operations and business following the closing, integrate Koi’s business and products into our products following the closing, and realize the anticipated synergies in the transaction in a timely manner or at all; changes in the fair value of our contingent consideration liability associated with acquisitions; developments and changes in general market, political, economic and business conditions; failure of our platformization product offerings; risks associated with managing our growth; risks associated with new product, subscription and support offerings; shifts in priorities or delays in the development or release of new product or subscription or other offerings or the failure to timely develop and achieve market acceptance of new products and subscriptions, as well as existing products, subscriptions and support offerings; failure of our product offerings or business strategies in general; defects, errors, or vulnerabilities in our products, subscriptions or support offerings; our customers’ purchasing decisions and the length of sales cycles; our ability to attract and retain new customers; developments and changes in general market, political, economic, and business conditions; our competition; our ability to acquire and integrate other companies, products, or technologies in a successful manner; our debt repayment obligations; and our share repurchase program, which may not be fully consummated or enhance shareholder value, and any share repurchases which could affect the price of our common stock.

Additional risks and uncertainties that could affect our financial results are included under the captions "Risk Factors" and "Management's Discussion and Analysis of Financial Condition and Results of Operations" in our Quarterly Report on Form 10-Q filed with the SEC on November 20, 2025, which is available on our website at investors.paloaltonetworks.com and on the SEC's website at www.sec.gov. Additional information will also be set forth in other filings that we make with the SEC from time to time. All forward-looking statements in this blog post 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 Securing the Agentic Endpoint appeared first on Palo Alto Networks Blog.

24/7 Managed SOC Built for Tomorrow's Threats

The window for defense has collapsed, and most SOCs weren’t built for the speed of today’s attacks. According to the 2026 Unit 42^® Global Incident Response Report, some end-to-end attacks now unfold in under an hour. Attacks that used to take days or weeks now happen in minutes.

Most traditional SOC models are trapped in a cycle of alert overload, fragmented tools and limited engineering capacity that slow investigations and delay response. Traditional SIEM and MDR models were designed to react to alerts. They were not designed to continuously improve detections, correlations and response with threats that move at machine speed. Over time, that gap between attacker speed and defender capability keeps widening, and it’s exactly why we built Unit 42 Managed XSIAM 2.0 (MSIAM).

Today marks the availability of the next evolution of our managed SOC offering – one that reflects how modern security operations must run in today’s threat landscape. MSIAM 2.0 is built on Cortex XSIAM^®, Palo Alto Networks SOC transformation platform, and operated by Unit 42 analysts, threat hunters, responders and SOC engineers who handle the most complex incidents in the world. With this solution, Unit 42 provides organizations with a 24/7 managed SOC that delivers continuous detection, investigation and full-cycle remediation across the entire attack surface while improving operations over time.

We don’t just manage alerts. Unit 42 continuously engineers detections, correlations and response playbooks within XSIAM, refining them as attacker behavior evolves. This ongoing engineering ensures defenses improve over time, driven by real-world incidents and frontline threat intelligence, not static rules that quickly fall behind.

Why Managed XSIAM 2.0 Is Different

Elite SOC on Day One

We want SOC teams up and running as fast as possible. Experts lead onboarding, data mapping and configuration, and then your managed SOC team takes responsibility for operating and optimizing XSIAM on a day-to-day basis. The result is a SOC that improves over time without adding operational burden.

Every Threat Exposed

Unit 42 goes beyond reactive monitoring with continuous, proactive threat hunting across the entire attack surface. When a new threat is found in the wild, we produce threat impact reports that show how those techniques apply to each customer’s environment. We then translate those insights into custom detections and automated response actions, while also monitoring and investigating the correlation rules your team creates. Both the global threat intelligence and your unique use cases are backed by our 24/7 analysis, closing gaps quickly and strengthening defenses over time.

We also now support both native and third-party EDR telemetry, so organizations can benefit from Unit 42 expertise and Cortex^® AI-driven analytics, regardless of the security technologies they use today. This enables customers to receive the strongest possible managed defense now, while creating a natural, low-friction path toward deeper platform consolidation as their environment evolves.

Machine-Speed Response

When incidents escalate, we don’t just hand you a ticket; we take ownership. Collaborating with your team, we establish pre-authorized workflows to execute immediate responses across your entire environment, from endpoints and firewalls to identity and cloud. We pair the platform’s native speed with expert oversight. By validating threat context and business impact, every response action is precise and safe, giving you the confidence to unleash full-cycle remediation. This allows MSIAM 2.0 to move seamlessly from detection to resolution with both velocity and precision.

And we stand behind our solution with a Breach Response Guarantee. If a complex incident strikes, you have the world’s best responders in your corner with up to 250 hours of Unit 42 Incident Response included. This built-in coverage removes the administrative hurdles of crisis response, enabling our experts to immediately transition from monitoring to deep forensic investigation and complete eradication, so you can focus on recovery. 

Proven in the Real World with the Green Bay Packers

Working with Unit 42 and the Cortex XSIAM platform, the Green Bay Packers modernized their security across a complex hybrid environment, demonstrating what Unit 42's managed services deliver in real-world operations. By consolidating telemetry and accelerating investigation and response, they reduced response times from hours to minutes, investigated 54% more alerts and saved over 120 hours of analyst time without adding headcount.

These outcomes reflect the key benefits of MSIAM: Unit 42 experts working to apply frontline intelligence as new attacker behavior emerges, translating it into reporting and tailored detections that improve response where it matters most. When a machine-speed platform is operated by experts handling real incidents every day, defenses continuously strengthen as threats evolve.

The Future of the SOC

Unit 42 MSIAM 2.0 helps your SOC operate as it should by combining AI-driven analytics and automation with expert-led operations and engineering. This combination provides teams with the confidence that their defenses are always on, always improving and ready when it matters most. That’s the SOC that security leaders need today, and the one we’re building for tomorrow.

MSIAM is now delivered through two service tiers, Pro and Premium. Organizations can start where they are and grow at their own pace. Pro provides AI-driven managed SOC operations with continuous detection, investigation and response. Premium extends into full-lifecycle SOC engineering, with designated experts and customized detections, automation and tailored response playbooks as your security maturity grows.

To learn more about Managed XSIAM 2.0, join us at Symphony 2026, a Palo Alto Networks premier virtual SOC event, where Unit 42 and Cortex^® experts will share frontline threat intelligence from the new 2026 Unit 42 Incident Response Report alongside real-world SOC transformation insights from organizations operating at machine speed.

The post Introducing Unit 42 Managed XSIAM 2.0 appeared first on Palo Alto Networks Blog.

AI-Accelerated Attacks, Identity-Enabled Breaches and Expanding Software Supply Chain Exposure Define the 2026 Cyberthreat Landscape

Each year, thousands of organizations experience a cyber incident. An incident can begin with a SOC alert, zero-day vulnerability, ransom demand or widespread business disruption. When the call comes, our global incident responders quickly mobilize to investigate, contain and eradicate the threat.

This year’s Unit 42^® 2026 Global Incident Response Report analyzed over 750 major cyber incidents across every major industry in over 50 countries to reveal emerging patterns and lessons for defenders.

The data shows a clear shift in how attacks unfold. Threat actors are moving faster, increasingly leveraging identity and trusted connections, and expanding attacks across multiple attack surfaces. The accelerating speed, scale and complexity of these intrusions mean the window between initial access and business impact is shrinking. Most breaches, however, still succeed due to preventable gaps in visibility and security controls.

Key Findings Show Attacks Are Faster, Broader and Harder to Contain

As adversaries adapt their playbooks, the report highlights several defining trends shaping the 2026 threat landscape:

• AI Is Compressing the Attack Timeline: In the fastest cases we investigated, attackers needed just 72 minutes to move from initial access to data exfiltration, 4X faster than last year. We’re seeing AI used in reconnaissance, phishing, scripting and operational execution, which enables machine-like speed at scale.
• Identity Is Now a Primary Attack Vehicle: Identity weaknesses played a material role in nearly 90% of our investigations. More often than not, attackers aren’t breaking in; they’re logging in with stolen credentials and tokens, and then exploiting fragmented identity estates to escalate privileges and move laterally without triggering traditional defenses.
• Supply Chain Risk Now Drives Operational Disruption: In 23% of incidents, attackers leveraged third-party SaaS applications. By abusing trusted integrations, vendor tools and application dependencies, they bypassed traditional perimeters and expanded the impact well beyond a single system.
• Attack Complexity Is Growing: We found that 87% of intrusions involved activity across multiple attack surfaces. Rarely does an attack stay in one environment. Instead, we see coordinated activity across endpoints, networks, cloud, SaaS and identity, forcing defenders to monitor across all of them at once.
• The Browser Is a Primary Battleground: Nearly 48% of incidents included browser-based activity. This reflects how often modern attacks intersect with routine workflows, like email, web access and day-to-day SaaS use, turning normal user behavior into an attack vector.
• Extortion Is Moving Beyond Encryption: Encryption-based extortion declined 15% from the year before, as more attackers skip encryption and move straight to data theft and disruption. From the attacker’s perspective, it’s faster, quieter and creates immediate pressure without the signals that defenders once relied on to detect ransomware attacks.

Attacks Succeed Because Exposure Still Beats Sophistication

Despite the speed and automation we’re seeing, most of the incidents we respond to don’t start with something radically new. They start with gaps that show up again and again. In many cases, attackers didn’t rely on a sophisticated exploit, but on an overlooked exposure.

• Environmental Complexity Undermining Defenses: In over 90% of the incidents we investigated, misconfigurations or gaps in security coverage materially enabled the attack. A big driver of that is tool sprawl. Many organizations are running 50 or more security products, making it extremely difficult to deploy controls consistently or clearly understand what their data is telling them.
• Visibility Gaps Delay Detection: In many engagements, the signals were there. When we look back forensically, the evidence is in the logs. But during the attack, teams had to stitch together data from multiple disconnected sources, slowing detection during the most critical early minutes.
• Excessive Trust Expands Impact: Once attackers gain a foothold, overly permissive access and unmanaged tokens frequently let them move farther than they should. We repeatedly see identity trust relationships turn a single compromised account into broad lateral movement and privilege escalation.

Attackers are evolving their tools and tactics, but they still win most often from exploited complexity, limited visibility and excessive trust inside modern enterprise environments.

Recommendations for Security Leaders and Defenders

Across more than 750 frontline investigations, three priorities come up again and again in conversations with CISOs and security teams.

• Reduce Exposure: Many of the attacks we see begin in places teams didn’t realize were exposed – third-party integrations, unmanaged SaaS connections or everyday browser activity. Reducing exposure means securing the full application ecosystem and treating trusted connections with the same scrutiny as core infrastructure.
• Reduce Area of Impact: Once attackers get in, the difference between a contained incident and a major disruption often comes down to identity. Tightening identity and access management while removing unnecessary trust limits how far an attacker can move and how much damage they can cause.
• Increase Response Speed: What happens in the first minutes after initial access can determine whether an incident becomes a breach. Security teams need the visibility to see what’s happening across environments and the ability to use AI to detect, identify and prioritize what matters, so the SOC can contain threats at machine speed, faster than the adversary can move.

Conclusion

Every investigation tells a story. How the attacker got in. How quickly they moved. What made the impact worse. Across hundreds of these cases, patterns emerge. Unit 42 operates 24 hours a day, 7 days a week on the frontlines of these incidents, and each year we distill what we learn into practical guidance. The goal of this report is to turn those frontline lessons into decisions that help you close the gaps that attackers still rely on and stop incidents before they become breaches.

Stay informed. Read the 2026 Unit 42 Global Incident Response Report and download the Executive Resource Kit.

The post 2026 Unit 42 Global Incident Response Report — Attacks Now 4x Faster appeared first on Palo Alto Networks Blog.

The enterprise security landscape has reached an inflection point. As organizations accelerate adoption of cloud, automation and artificial intelligence, identity has become the primary attack surface of the modern enterprise. Not because defenses have weakened, but because identities have multiplied and now operate continuously at machine speed, often with elevated access.

When attackers succeed today, it almost always starts with identity. Identity is now the number one attack vector. Eighty-seven percent of organizations experienced at least two successful, identity-centric breaches in the past 12 months. These breaches can lead to outages, regulatory exposure, financial loss and reputational damage.

This reality is why today marks such a pivotal moment. CyberArk is officially joining Palo Alto Networks. This step reflects a shared conviction that identity security is no longer a supporting function. To stay ahead of modern attackers, organizations need best-in-class identity security that is deeply integrated into their broader security strategy.

The Reality of the Modern Identity Attack Surface

For years, identity security focused on a relatively small population of human users, administrators and periodic access reviews. That model no longer matches reality.

Today’s enterprises depend on vast numbers of machine identities, including workloads, services, APIs and increasingly, autonomous AI agents. Machine identities now outnumber human identities by more than 80 to 1, while 75 percent of organizations acknowledge that their human identities are governed by outdated, overly permissive privileged models.

Attackers have adapted. Rather than breaking in through vulnerabilities, they increasingly log in using stolen credentials or by exploiting excessive, poorly governed access. Identity-based attacks have become the dominant breach vector because identity sprawl and standing privilege create opportunities that are difficult to detect with traditional tools.

Yet many identity programs remain fragmented. Access management, privileged access and governance often operate in silos, with delayed visibility and manual processes. Risk accumulates silently between reviews, leaving security teams reacting after the fact.

This is the problem CyberArk was built to solve.

Why Identity Security Must Be Continuous

Securing identities in this environment requires a fundamentally different approach. Identity risk changes constantly as new identities are created, permissions shift and systems scale dynamically. Controls must operate continuously, not episodically.

This means three things:

First, organizations need real-time visibility into who or what has access to critical systems across human, machine and AI identities.

Second, privilege must be applied dynamically. Access should be granted only when needed and removed automatically when it is no longer required. Standing privilege should be the exception, not the norm.

Third, governance must evolve from periodic compliance exercises to continuous enforcement that adapts as environments change.

This is the identity security vision that has guided CyberArk for decades and why joining Palo Alto Networks is such a natural next step.

Elevating Identity to a Core Platform

As part of Palo Alto Networks, CyberArk elevates identity security to a core platform pillar.

CyberArk’s Identity Security Platform is proven at enterprise scale and trusted to protect some of the world’s most critical environments. Our approach extends privileged access principles beyond a narrow set of administrators to every identity that matters.

By treating every identity as potentially privileged, organizations can dramatically reduce their attack surface. Excessive access is identified. Unnecessary privilege is removed. Attackers lose the ability to move laterally by using stolen credentials.

Elevating identity security to a platform level also enables tighter alignment with network security, cloud security and security operations. Identity becomes a powerful control plane that informs policy enforcement, detection and response across the enterprise, delivering a more complete and actionable view of risk.

Securing the AI-Driven Enterprise

This shift is especially critical as organizations deploy AI-driven systems and autonomous agents.

These systems often require persistent access to sensitive data and infrastructure, making them attractive targets for attackers and difficult to govern with legacy identity models. Most enterprises today lack effective identity security controls for machine and AI-driven systems, leaving these identities overprivileged and undergoverned.

Applying privileged access principles universally enables organizations to secure AI-driven environments without slowing innovation. Identity security becomes the trust layer that allows enterprises to scale AI responsibly, ensuring access is controlled, monitored and adjusted dynamically as systems evolve.

What This Means for Customers

For customers, elevating identity security to a core platform delivers tangible outcomes.

Organizations gain clearer insight into identity access and risk across human, machine and agentic identities. They gain stronger protection against credential-based attacks by limiting excessive privilege and reducing the paths that attackers rely on to move undetected. They also gain operational simplicity by replacing fragmented tools and manual governance with consistent, scalable controls.

Most importantly, customers gain confidence. Confidence to adopt cloud, automation and AI, knowing that identity risk is governed continuously. Confidence that security can keep pace with change rather than reacting after the fact.

Moving Forward

CyberArk’s Identity Security solutions will continue to be available as a standalone platform. Customers can rely on the solutions they trust today while benefiting from an accelerated roadmap focused on resilience, simplicity and improved security outcomes.

At the same time, integration is underway to bring CyberArk’s best-in-class identity security capabilities more deeply into the Palo Alto Networks security ecosystem. Our priority is to listen closely to customers, meet their immediate needs, and build the path forward together.

The AI era is redefining how enterprises operate and how attackers operate alongside them. Securing every identity, human, machine and AI agent is no longer optional. It is foundational.

By bringing CyberArk into Palo Alto Networks, we are taking a decisive step toward redefining identity security for the modern enterprise and helping our customers stay secure as they innovate at speed.

The post Securing Every Identity in the Age of AI appeared first on Palo Alto Networks Blog.

Accelerating Secure AI Adoption

The rapid adoption of AI is transforming the enterprise, unlocking unprecedented productivity and accelerating workflows at a record pace. However, this velocity creates a new productivity paradox: The faster AI moves, the more it can expose the organization to entirely new categories of risk. Without specialized guardrails, unchecked AI can inadvertently bypass company policies, violate legal standards, or ignore ethical norms.

To bridge this gap, Glean, the Work AI platform, and Palo Alto Networks Prisma^® AIRS have integrated to provide an essential security layer that empowers organizations to adopt generative AI with confidence, helping ensure that massive productivity gains never come at the cost of trust, security or compliance.

Real-Time Defense Against the Modern AI Threat Surface

Generic filters often fail to catch the sophisticated nuances of AI-driven attacks. The integration of Glean and Prisma AIRS provides a purpose-built defense that acts in real time across three critical areas:

1. Neutralizing Prompt Injection

Prompt injections are malicious instructions designed to trick AI models into ignoring their safety protocols, potentially leading to the exposure of sensitive data or the execution of unauthorized actions.

For instance, an attacker could craft a prompt that causes the AI to leak its own system instructions leading to data loss. Glean and Prisma AIRS instantly detect these sophisticated manipulation attempts, blocking the request and notifying the user before the organization's integrity is compromised.

2. Safeguarding Against Harmful and Toxic Content

AI interactions must remain professional, ethical and safe.

By scanning both user prompts and AI-generated responses against organizational policy, Glean and Prisma AIRS automatically block requests that contain toxic, biased, or otherwise harmful content. This enables AI to remain a positive and productive asset for the entire workforce.

3. Preventing Malicious Code and Unsafe URLs

AI models can sometimes generate unsafe code snippets, get data from a poisoned source, or provide harmful links that lead to phishing sites or malware downloads.

For example, a developer might ask an AI assistant for a code library to process data, and the model could inadvertently suggest a malicious package that compromises the application. The Glean and Palo Alto Networks integration provides a crucial safety net, inspecting all generated content for malicious patterns and preventing employees from interacting with risky URLs, keeping the entire AI-driven development and research lifecycle secure.

Secure AI in Minutes with Out of the Box Integration

The true power of the Glean and Palo Alto Networks partnership lies in its simplicity. We’ve removed the friction of complex security configurations, enabling organizations to realize value immediately through a seamless, out of the box integration.

Onboarding is completed in three simple steps within the Glean admin console:

1. Navigate to AI Security and select Palo Alto Networks AI Runtime Security.
2. Paste your Prisma AIRS Runtime Security API Key.
3. Click Save.

With these three clicks, the integration is live, providing an invisible but invincible layer of defense across your AI chats and agent interactions.

Partnering for a Secure AI Future

As enterprises scale their AI initiatives, specialized security becomes non-negotiable. Prisma AIRS provides the advanced, granular protection needed to catch threats that standard vendors can often miss, and its integration with Glean delivers that protection exactly where work happens.

Drive productivity, foster innovation, and secure your future with Glean and Palo Alto Networks.

Key Takeaways

• Real-Time Threat Mitigation: Instantly block prompt injections, toxic content, and malicious code, transforming AI from a risk factor into a secure asset.
• Frictionless Deployment: Achieve comprehensive AI security in minutes with a simple, three-click API integration within the Glean console.
• Time to value: Scale AI adoption across the enterprise by ensuring every interaction complies with internal policies and global safety standards.

Ready to Deploy Secure AI? To explore how this integration can protect your organization, sign up for the Glean and Palo Alto Networks upcoming webinar.

The post The Power of Glean and Prisma AIRS Integration appeared first on Palo Alto Networks Blog.

Our Reimagined Partner Program Is Here

The cybersecurity landscape continues to evolve at an extraordinary pace. AI-driven threats are expanding the attack surface, demanding faster, more precise responses and greater resilience. At the same time, customers want fewer vendors, deeper integrations and trusted advisers who can help them achieve positive, measurable outcomes and reduce unnecessary complexity.

Meeting these challenges and expectations requires a potent combination of world-class technology and world-class partnership. That’s why, in 2026, Palo Alto Networks is evolving our partner program and unifying it with our value exchange framework.

We are excited to share that we have rolled out new program features. The changes we’re introducing are designed to strengthen how we work with our ecosystem across every partner motion – from resale and cosell to delivery, support and managed services. The goal of this evolution is simple: Create clearer, more scalable paths for growth and mutual success.

Why We’re Evolving to Meet the Demands of a Changing Market

The same forces transforming the cybersecurity landscape are also changing what it means to be a successful partner. As customers reduce their reliance on disparate point solutions, choose to consolidate platforms and lean harder on AI-driven automation, they’re turning to partners for much more than technology procurement. They want design guidance, integration expertise and ongoing, outcome-focused support.

Our partners are also clear about what they need from us. They’ve asked Palo Alto Networks for a partner program that is simpler to engage with, more predictable in how it rewards impact, and more closely aligned with how they build and deliver value across resale, services and managed offerings. Our partners also seek less complexity and more room to differentiate through their own investments and innovation.

The evolution of our partner program is our response not only to feedback from our partners but also to extensive market research. It will bring greater structure where our partners seek consistency, greater flexibility in how and where they innovate, as well as greater transparency in how the value they deliver is recognized. These strategic changes will help ensure our mutual customers benefit the most when they work with our vast and diverse ecosystem in today’s platform-first, outcome-driven marketplace.

A Unified Growth Model = Partner Program + Value Exchange

Palo Alto Networks NextWave Partner Program and value exchange framework were designed to work together, not as separate tracks, but as one powerful engine for driving growth. This unified framework makes it easier for partners to engage with us and get the most from the partner program. It rewards impact, expertise and customer success rather than focusing narrowly on transactions.

This evolved model is built on the foundation of three guiding principles:

• Predictability – Consistent expectations and program structures that support long-term planning.
• Repeatability – Enablement and tools that help partners scale practices with confidence.
• Profitability – Incentives, rebates and routes to growth tied directly to customer value.

The new framework can help partners build sustainable businesses while accelerating the adoption of platformized AI-powered security. Let’s take a look at the many benefits our partner ecosystem may experience through this reimagined program.

What Our Partners Can Expect

Our redesigned partner program enables greater alignment between the investments you make and the outcomes you achieve. Across Palo Alto Networks NextWave Partner Program, we’re strengthening how partners can scale, differentiate and grow their business with improvements in three key areas.

1. Access That Accelerates Scale

We’re expanding access to the tools and resources that can help partners reach customers faster and deliver solutions with confidence:

• Broader on-demand learning and persona-based enablement.
• Labs and demos that make it easier to showcase platform value.
• Improved quoting tools and API-driven automation that can ease operational friction.
• Enhanced support resources that improve quality delivery and the customer experience.

These and other capabilities can help reduce complexity and accelerate your ability to propose, design and deploy high-quality, platform-based solutions for customers.

2. Commitment That Reflects Intentional Investment

As the cybersecurity market evolves, so does the definition of partnership. Our newly evolved program introduces clearer expectations and meaningful rewards for partners who invest in specialization and growth. We’re raising the bar on the program’s standards:

• Higher bookings and growth targets.
• Increased specialization depth across key areas.
• New targeted rebates aligned to value creation.
• A strengthened global distribution strategy to support scale.

These enhancements will recognize partners who lean into the platform approach and drive meaningful impact for customers.

3. Profitability That Helps Fuel Long-Term Growth

A top priority for our updated program is helping partners build predictable, repeatable and profitable business practices in 2026 and beyond. Here are some of the measures we’re introducing:

• Default service quoting (Authorized Support Center and Authorized Professional Services) to help strengthen delivery economics.
• Incentive model that drives higher partner profitability on AI-enabled security solutions.
• Programmatic discounts and improved quoting tools to speed sales cycles.
• A new Partner Development Fund (PDF) to help partners build capabilities and pipeline.

Our aim is to create a more consistent, performance-driven model that supports partner strategy today and creates room for expansion tomorrow.

What These Changes Mean for Customers

A more connected and enabled partner ecosystem doesn’t just benefit our partners. It elevates the entire customer experience.

Customers can expect smoother, simplified engagement with trusted cybersecurity advisers who speak the same language and share the same goals. And with greater consistency across sales, delivery and ongoing support, organizations won’t be saddled by complexity that slows transformation and makes it harder to adopt, build and deploy AI boldly yet safely.

Customers can also move forward with greater confidence in expanding their use of our Palo Alto Networks integrated, AI-driven cybersecurity platform, knowing their partners are equipped with the training, tools and know-how to help guide them every step of the way.

Driving Shared Success Through the Value Exchange

The value exchange in cybersecurity reinforces a principle that has long guided the approach of Palo Alto Networks to partnering: Growth follows value creation. It’s the foundation for how we work with our ecosystem, strengthening connections among partners, customers and our platform.

This is the power of a global ecosystem moving with purpose. When platform innovation, partner expertise and customer needs are aligned, everything moves faster and desired outcomes are more readily achieved. Deployments accelerate, architectures are simplified, and enterprises gain the resilient security postures needed to withstand the pressures of an AI-driven threat landscape.

What’s Next

We encourage you to review a set of short videos in The Learning Center for Partners, which provide more details about the planned changes to Palo Alto Networks NextWave Partner Program.

We believe the year ahead offers one of the most significant opportunities for innovation and growth our ecosystem has ever seen. By reimagining our partner program and value exchange framework, Palo Alto Networks is doubling down on the promise of our shared success, mutual growth and long-term value.

To our partners, thank you, as always, for your commitment, collaboration and belief in what we’re creating together. What’s ahead is more than an evolution of a long-standing and successful partner program. It’s a new era of partnering with precision to build the future of cybersecurity.

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Key Takeaways

• A reimagined partner program accelerates sustainable growth. Beginning in early February, a single, scalable framework will guide every partner motion and reward meaningful impact.
• Partners have more ways to scale and differentiate. Expanded enablement, automation and incentives can help build stronger, more profitable practices.
• Customers will benefit from more consistent experiences. A more aligned ecosystem enables simpler engagement, smoother delivery and increased confidence in the platform.

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 New Year, New Program, New Opportunities appeared first on Palo Alto Networks Blog.

Palo Alto Networks is proud to enter a strategic partnership with the RAF Association.

For over 90 years, the Royal Air Forces Association (RAFA) has championed a simple yet profound belief: No member of the RAF community should ever be left without the help they need. Serving personnel, veterans and their families, the RAF Association provides crucial welfare support, responding to increasingly complex needs in an era of operational changes and challenges, including persistent global deployment.

Delivering on their mission today requires not only compassion and expertise but also resilient digital foundations. To strengthen and future-proof its operations, RAFA has entered into a strategic partnership with Palo Alto Networks. Together, we are modernising the Association's cyber security posture through a secure-by-design, zero trust architecture to enhance organisational resilience, secure sensitive beneficiary data, and improve operational agility. This helps ensure they can focus on their mission of support, not security management.

As Nick Bunting OBE, Secretary General at the RAF Association, puts it:

Cybersecurity is essential to safeguarding the trust people place in our organisation. This transformation will give us greater protection for our data and systems, ensuring that our services remain dependable and that our organisation is secure, resilient and ready for the future. Strong digital security is not just a technical requirement, it is a fundamental part of how we uphold our duty of care to every individual who relies on us.

Securing the Mission

The RAF Association operates in a distributed environment comprising headquarters’ functions, remote caseworkers, and more than 20 RAFAKidz nursery sites, supported by a growing portfolio of cloud-based services. In this context, cybersecurity is not simply an IT concern. It is a safeguarding imperative.

Disruption to systems or a compromise of sensitive beneficiary data could directly impact RAFA’s ability to deliver services and maintain the trust of the communities it supports. By consolidating fragmented legacy tools into a unified platform, this partnership ensures the Association’s digital evolution aligns security controls with GDPR obligations and safeguarding requirements.

Digital Resilience with a Unified Platform for Visibility and Control

To support RAFA's lean IT operational model, this transformation will move them away from fragmented legacy tools toward a unified platform approach. The deployment of Prisma^® SASE (secure access service edge) and Cortex XDR^® will provide RAFA with consistent visibility and control across users, devices, applications and data, regardless of location. This consolidation replaces complexity with clarity, allowing the organisation to inspect traffic for threats in real-time. Security policies are now enforced continuously, threats are detected and contained faster, and access to critical systems is governed by zero trust principles without compromising the user experience.

As Phil Sherwin, Chief Information Officer, at the RAF Association states:

Our data is one of our most valuable assets and the protection of that data, as we continue to provide life-changing support to members of the RAF community, is our most important priority. This partnership will move us into the next generation of security tools that adopt zero trust principles and is a crucial step on our journey to providing a layered approach to data protection.

One of the most critical aspects of this modernisation is supporting RAFA’s diverse workforce, particularly within the RAFAKidz nursery sites. These environments rely on nondesk-based staff using iPads and mobile devices to get their critical work done.

Using zero touch provisioning and the Prisma Browser™, we are enabling secure, seamless connectivity for unmanaged devices. This ensures that nursery staff can access necessary SaaS applications safely without complex login hurdles or manual configuration, improving their agility and allowing them to focus on caring for children rather than troubleshooting technology.

Creating Operational Advantage by Scaling Operations with AI and Automation

As a charity, RAFA has a responsibility to ensure resources are used efficiently. A critical goal of this partnership is to improve productivity and allow the organisation to scale its services without increasing the IT burden.

By adopting Strata™ Cloud Manager with AIOps (artificial intelligence for IT operations), RAFA is shifting from reactive security operations to proactive, automated management. Machine learning helps identify configuration risks and performance issues before they affect users, while standardized policies enable the secure, consistent onboarding of new sites. This shift is projected to significantly reduce operational overhead, enabling RAFA to scale its support network cost-effectively. This shift is projected to reduce operational overhead by 40–50%.

A Resilient Future

This partnership is about more than deploying technology. It is about ensuring RAFA remains resilient, trusted and capable of supporting the RAF community for decades to come.

As Darren Bisbey, Head of Group Information Security for the RAF Association, puts it:

We live in an era where digital threats are accelerating in both scale and sophistication, creating unprecedented challenges for organisations. Our partnership with Palo Alto is a statement of intent, reflecting our unwavering commitment to building the most secure environments possible for our data.

At Palo Alto Networks, we are honored to support RAFA in this journey, providing the digital armour and operational advantage necessary to protect those who serve and have served.

As Alistair Wildman, Palo Alto Networks CEO for Northern Europe states:

For over 90 years, RAFA has been a lifeline for the RAF community; it is our privilege to ensure that legacy endures in a digital-first world. By embracing a unified, AI-driven platform, RAFA is moving beyond complex, fragmented security to a posture that is Secure by Design. This partnership allows them to navigate today’s threat landscape with confidence, ensuring their resources remain focused where they belong: on the families who need them.

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Key Takeaways

1. Digital Resilience – Strategic Shift to Zero Trust Architecture: RAFA is modernizing its cybersecurity posture by implementing a comprehensive zero trust architecture. This transition involves moving from fragmented legacy tools to a unified platform approach, deploying Prisma^® SASE and Cortex XDR for 360-degree visibility and complete control over access and traffic.
2. Interoperability – Secure, Seamless Access for Diverse Workforce: The partnership ensures operational agility by simplifying security for nondesk-based staff, particularly at the RAFAKidz nursery sites. Solutions like Zero-Touch Provisioning and the Prisma Access Browser enable secure, seamless connectivity for unmanaged devices, allowing nursery staff to focus on their critical work without complex login or configuration issues.
3. Creating Operational Advantage – Efficiency and Scalability through AI and Automation: RAFA is leveraging technology to scale services efficiently and reduce operational overhead. By using Strata Cloud Manager with AIOps (Artificial Intelligence for IT Operations), the organization can shift to proactive management and automating remediation, which is projected to reduce operational overhead by 40–50%.

The post Empowering the RAF Association with Next-Generation Cyber Resilience appeared first on Palo Alto Networks Blog.

Here is an overview of content I published in January: Blog posts:

• Update: hash.py Version 0.0.14
• Update: zipdump.py Version 0.0.33

SANS ISC Diary entries:

• YARA-X 1.11.0 Release: Hash Function Warnings
• Wireshark 4.6.3 Released
• “How many states are there in the United States?”

The early weeks of 2026 have already made one thing clear: Government cybersecurity is in a new phase, shaped not by incremental change, but by the rapid integration of AI into core public-sector missions. AI systems are now embedded in critical infrastructure, federal service delivery, research environments, as well as state and local operations. At the same time, nation-state adversaries are leveraging AI to accelerate intrusion, scale deception and manipulate trusted systems in ways not possible even a year ago.

As Senior Vice President of Public Sector at Palo Alto Networks, I see a decisive shift underway. Defending the public sector in 2026 means navigating a world where security depends on verifying identity, securing data and governing AI-driven systems that act without human intervention. Success now hinges on architectures that assume automation, operations that prioritize coordination, and governance frameworks capable of managing AI at mission scale.

Here are the developments that will define the year ahead.

Federal Government

1. AI-Native Security Must Become Integral to Federal Operations

AI in federal environments is no longer an experiment. Agencies are now designing workflows, SOC missions and cloud architectures around AI-driven detection and response. The emphasis is shifting from supplementing human analysts to building systems that maintain visibility, correlate threats, and respond autonomously when human capacity is limited. This builds on what we forecasted last year, when federal cybersecurity teams began using AI to replace manual workflows and drive down detection and response times.

The shift will be practical. Federal teams must plan to deploy AI systems that correlate logs, identify behavioral anomalies, prioritize threats, and suppress noise before analysts ever see an alert. Manual, ticket-based workflows will no longer meet federal timelines for investigation or reporting, particularly as adversaries automate more phases of attack.

2. Identity Emerges as the Central Federal Security Challenge

The biggest shift in 2026 will be the collapse between “identity” and “attack surface.” Deepfake technologies now operate in real time. AI-generated voices and video can impersonate senior leaders at a level undetectable by traditional controls. Machine identities continue to proliferate; they will outnumber human identities this year. And autonomous agents can initiate high-impact actions without human oversight. This reflects a broader crisis of authenticity now reshaping how enterprises defend identity itself.

Identity abuse will no longer be limited to credential theft. This turns identity into a systemic risk. One compromised identity (human, machine or agent) can cascade through automated systems with little friction. Federal programs will need to prioritize continuous identity verification, stronger proofing and governance frameworks that validate the legitimacy of both human and AI-driven activity.

3. AI Systems Must Be Secure-by-Design

Stemming from the clear mandate in the AI Action Plan (and subsequent work by NIST to develop an AI/Cyber Profile on top of the existing Cybersecurity Framework) agencies will steadily integrate AI security into their deployment of AI technologies.

This imperative is critical as AI systems are susceptible to novel threats. Data poisoning of training sets, manipulated inputs and hidden instructions in untrusted datasets compromise the intelligence that agencies rely on for analysis, planning and mission support. To support the security of this AI-first moment, Palo Alto Networks was proud to make its AI security platform, Prisma^® AIRS™, available through the GSA OneGov initiative.

4. Nation-State Operations Expand Through AI Automation

Adversaries will use AI to compress the time between reconnaissance, exploitation and lateral movement. We expect rapidly increasing the use of AI to chain vulnerabilities, tailor social engineering campaigns, and generated malware variants that adapt in real time.

The focus will broaden beyond IT networks. AI will be used to disrupt OT systems and target sensitive research environments. Foreign intelligence services will weaponize AI to blur the line between intrusion and information operations, producing hybrid campaigns that attack both systems and the legitimacy of institutions.

5. Autonomous SOC Capabilities Become Essential

Federal SOCs will evolve from human-centered command centers to hybrid operations where autonomous agents run major components of the detection and response mission. These agents will triage alerts, enforce containment, and initiate predefined responses.

This evolution comes with risk. AI agents with broad authority can be misused or manipulated if not properly governed. Agencies will need safeguards to track agent behavior, enforce least privilege on agents, and prevent misuse through runtime monitoring and “AI firewall” controls designed to stop malicious prompts and unauthorized actions. The same pressures are shaping enterprise security, where controls like AI firewalls and circuit breaker mechanisms are becoming standard practice. Automation will only strengthen federal security if paired with rigorous oversight and continuous validation of agent activity.

6. Shared and Federated SOC Structures Gain Momentum

As threats scale, agencies will increasingly operate through shared or federated security structures. Instead of isolated SOCs, agencies will adopt analytics layers capable of correlating activity across departments and exchanging findings in real time.

This shift will reduce redundancy and provide faster insight into nation-state campaigns that cross federal boundaries. Early adopters will establish shared analytic and response frameworks that allow agencies to coordinate without sacrificing mission-specific control. Civilian agencies will lead early adoption with broader participation across defense and national security stakeholders expected later in the year.

7. The Post-Quantum Deadline Becomes Immediate

In 2026, post-quantum cryptography planning will move to implementation. Accelerated advances in quantum computing and AI-based cryptanalysis will push agencies to transition from pilot efforts to mandated modernization.

Agencies will focus on discovering where vulnerable algorithms are used, replacing outdated libraries, and implementing crypto-agility so systems can evolve without major redesigns. Systems with unpatchable cryptographic components will be flagged for full replacement, forcing agencies to reconcile years of accumulated “crypto debt.”

8. Data Trust and Cloud Workload Protection Become Priority Missions

The rise of AI workloads will force agencies to rethink how they protect data. Infrastructure controls alone cannot detect when training data has been manipulated or when model outputs no longer reflect real-world conditions.

Agencies will unify developer and security workflows and use tools like Data Security Posture Management and AI security posture management (AI-SPM) to track data lineage and enforce protections at runtime. Enterprises are addressing the same issue by bringing development and security teams together under shared data governance models. Ensuring model trustworthiness will become a mission-support requirement, not just a security objective.

9. Platform Consolidation Becomes Necessary

Fragmented tools cannot support the visibility and oversight required for AI governance. Executives will push for platform consolidation to unify network, identity, cloud, endpoint and AI security. Integrated platforms will gain favor because they enable consistent policy enforcement and a single operational picture across increasingly automated environments.

State, Local and Educational Institutions

1. AI Adoption Splits SLED into Distinct Tiers

In 2026, disparities in funding and technical capacity will widen. Some states will deploy AI across security operations, citizen services and identity verification. Others will struggle to maintain legacy systems.

Well-resourced jurisdictions will reduce response times and improve resilience. Underfunded ones will remain exposed to ransomware and disruption. Without targeted modernization efforts, a national divide in SLED cybersecurity maturity will deepen.

2. Regional Models Become the Practical Path Forward

Silos are no longer sustainable. SLED organizations will rely on shared SOCs, regional threat intelligence hubs and coordinated incident response agreements. States will formalize partnerships to share expertise, reduce costs and defend interconnected systems. This evolution represents the maturation of the “team sport” mentality we predicted in 2025. These models reflect operational reality: Compromised data or infrastructure in one jurisdiction often creates immediate risk for its neighbors.

3. Higher Education Redesigns Its Security Baseline

Universities will classify cybersecurity alongside energy, research infrastructure and physical security as essential institutional functions. Secure browser adoption, stronger vendor oversight and centralized identity governance will become the norm.

AI research environments will receive increased scrutiny, and universities participating in federally funded research will face stricter compliance requirements to prevent data poisoning and model manipulation. Institutions with large research portfolios will prioritize securing lab environments where AI models are trained and evaluated.

4. K–12 Systems Enter a New Phase of Security Oversight

States will introduce new security mandates for K–12 environments, covering MFA, network segmentation, secure browsers, identity verification and foundational zero trust principles. AI-enabled ransomware will remain a threat. Smaller districts will adopt managed services or regional support structures as they confront growing operational and compliance demands. Districts that modernize identity controls and browser security will significantly reduce their exposure compared to those reliant on legacy tools. Building on the regulatory momentum we predicted in 2025, K–12 institutions will continue moving from defensive posture to proactive security adoption.

5. Local Governments Face Escalating AI-Driven Ransomware

Municipal governments remain high-value targets due to limited staffing and aging infrastructure. AI gives threat actors the ability to automate reconnaissance, craft targeted phishing messages, and identify vulnerabilities with little effort.

Attacks timed to public safety incidents or weather emergencies will increase, meaning local governments will need stronger identity controls, automated endpoint protection and access to managed detection and response. Operational continuity will depend on reducing time-to-detect and time-to-contain, capabilities that smaller municipalities cannot achieve without external support.

6. Managed Services and Platform Consolidation Become Standard

As technical demands grow, SLED organizations will move toward managed SOC models and consolidated vendor ecosystems. Platforms that integrate data protection, threat detection, identity governance and AI oversight will gain traction. Point tools without interoperability will decline. Budget-constrained environments will favor comprehensive platforms that reduce operational burden and simplify compliance.

7. Identity and Data Trust Become Central SLED Priorities

SLED organizations manage sensitive student records, election data and social services information. These environments are increasingly strained by the rapid growth of machine identities and AI-driven applications.

Synthetic identities and AI-generated credentials will be used to infiltrate systems with limited oversight. Continuous identity verification, data lineage tracking and posture management will become essential to prevent fraud, service disruption and data manipulation. Identity assurance and data integrity will become the foundation of public trust at the state and local level.

The post 2026 Public Sector Cyber Outlook: Identity, AI and the Fight for Trust appeared first on Palo Alto Networks Blog.

Why the GSA OneGov Agreement Is a Game-Changer for Federal Cybersecurity

The mission to modernize government IT is accelerating at lightning speed, largely thanks to the transformative power of artificial intelligence (AI). Federal agencies are strategically leveraging AI to boost efficiency, enhance citizen services, and strengthen national security – a vision fully supported by the administration’s AI Action Plan.

At Palo Alto Networks, we are all-in on helping agencies deploy AI bravely and securely. Because the challenge isn't just about using AI for cyberdefense, but also about defending AI itself. We appreciate the U.S. General Services Administration (GSA) recognizing the critical need for scalable, efficient solutions.

That is precisely why the GSA OneGov Initiative is a massive, game-changing step forward. We are proud to be the first pure-play cybersecurity vendor to secure a OneGov agreement with the GSA. This strategic alliance simplifies and standardizes the process for agencies to access our world-class, AI-powered security platform, ensuring security is foundational to this crucial modernization mission.

The Wake-Up Call: The Silent Threat of AI Agent Corruption

If you needed a clear sign that AI has fundamentally shifted the cybersecurity landscape, our own Unit 42 research provides it. The new reality isn't just about hackers using AI in their attacks; it’s also about how internal AI provides another attack surface for threat actors.

The most insidious new threat we've observed is AI Agent Smuggling, where malicious attackers use AI agents to exploit other agents. Our Unit 42 research highlights two major vectors:

• Indirect Prompt Injection: A security risk in LLMs where a user crafts input containing deceptive instructions to manipulate the model’s behavior, which can lead to unauthorized data access or unintended actions.
• Agent Session Smuggling: Exploit vulnerabilities in agent-to-agent communication, injecting malicious instructions into a conversation, hiding them among otherwise benign client requests and server responses.

This confirms our core belief as stated in a recent secure AI by Design blog: The AI ecosystem (the models, data and infrastructure) is now a complex, expanding attack surface that traditional perimeter defenses were simply not designed to protect.

As I’ve said before, “If you’re deploying AI, you must deploy AI security.”

Secure AI by Design: A Strategic Alliance with GSA

The GSA’s OneGov Initiative aims to streamline procurement and drive down costs by leveraging the purchasing power of the entire federal government. This is more than an agreement; it’s a direct response to the call for a "secure-by-design" approach to federal AI adoption. This agreement simplifies and standardizes the process for agencies to access our world-class, AI-powered security platform, ensuring that security is foundational, not an afterthought. It provides industry leading AI security tools into the hands of our cyber defenders today.

Under the Hood: Technical Capabilities for the AI Ecosystem

To counter the autonomous threats we’re seeing, we provide a platform that protects the entire AI lifecycle, from the developer's keyboard to the data center.

1. Runtime Protection for AI Workloads

Securing the AI supply chain requires visibility across every stage, especially during runtime when models are processing sensitive data.

• Prisma^® AIRS delivers comprehensive security for the entire AI lifecycle, in one unified platform. It allows organizations to deploy traditional apps as well as AI applications, models and agents with confidence by reducing risk from misuse, data loss and sophisticated AI-driven threats. Prisma AIRS provides a clear, connected view of assets in multicloud environments, so teams can eliminate silos, accelerate responses, as well as scale cloud and AI apps securely.
• Our Cloud-Native Application Protection Platform (CNAPP) has achieved the FedRAMP High designation, making it the preferred Code to Cloud solution to secure the entire application lifecycle from development to runtime. Our industry-leading CNAPP eliminates silos to deliver comprehensive visibility and best-in-class protection across multicloud environments.

2. Protecting Users and Data at the Edge

Even the most advanced AI defenses are undermined if users accessing applications and data are left vulnerable outside corporate security boundaries. The explosive growth of generative AI tools and the unseen behavior of AI agents are amplifying data exposure risks.

• Prisma SASE (secure access service edge) secures all users, apps, devices and data, no matter where they are and no matter where applications reside.
  • Prisma Access (FedRAMP High Authorized) and Prisma Browser (FedRAMP-Moderate Authorized) integrate security capabilities, like zero trust network access (ZTNA), secure web gateway (SWG) and cloud access security broker (CASB), to provide a unified policy framework and a consistent user experience.
• This approach helps agencies outpace the speed of AI-driven threats, safeguarding critical data and simplifying operations for a frictionless user experience. It ensures that the human element interacting with the AI is protected by the most stringent security controls available.

Deploy AI Bravely

The GSA OneGov agreement is a pivotal moment that provides federal agencies with the cost-effective, streamlined access they need to deploy AI with confidence. By leveraging our unified, AI-powered platform, government organizations can stop reacting to threats and start building secure-by-design AI environments. We are committed to remaining a key partner in this strategic initiative and helping the government achieve its mission outcomes safely.

For more information and access to promotional offers for new contracts signed on or before January 31, 2028, federal agencies can visit the GSA OneGov website.

The post Securing the AI Frontier appeared first on Palo Alto Networks Blog.

Modernizing Vulnerability Sharing for a New Class of Threats

In cybersecurity, vulnerability information sharing frameworks have long assumed that conventional threats exploit flaws in software or systems, and they can be resolved with patches or configuration updates. AI and machine learning (ML) models upend that premise as adversarial attacks, like poisoning and evasion, target the unique way AI models process information. Consequently, the risks for AI systems include tactics like model poisoning (from evasion attacks) in datasets and training, which are not conventional software vulnerabilities. These new vulnerabilities fall outside the scope of traditional cybersecurity taxonomies like the Common Vulnerabilities and Exposures (CVE) Program.

There is a need to bridge the gap between the existing cybersecurity vulnerability sharing structure and burgeoning efforts to catalog security risks to AI systems. Provisions in the White House AI Action Plan, which Palo Alto Networks supports, call for the creation of an AI Information Sharing and Analysis Center (AI-ISAC), reinforcing the importance of addressing that disconnect. This integration is essential, as leveraging the existing, widely adopted cybersecurity infrastructure will be the fastest path to ensuring these new standards are accepted and operationalized.

Established Construct for Vulnerability Management and Disclosure

The global cybersecurity community relies on a mature infrastructure for sharing standardized vulnerability intelligence. Central to this ecosystem is the CVE List, established in 1999 as the authoritative catalog of cybersecurity vulnerabilities. Through CVE IDs and a network of CVE Numbering Authorities (CNAs), this framework enables consistent vulnerability documentation and disclosure.

Similarly, the Common Vulnerability Scoring System (CVSS) provides standardized severity assessments, allowing security teams to prioritize responses. Together with resources like the National Vulnerability Database (NVD) and CISA’s KEV Catalog catalog, these tools form the backbone of global vulnerability management, information sharing and coordinated disclosure.

Why AI Breaks the Traditional Model

While this infrastructure has served the cybersecurity community effectively for over two decades, it was designed around traditional threat models that AI systems substantially upend. Attacks on AI systems represent a critical departure from traditional cybersecurity threats as they operate insidiously, subtly corrupting core reasoning processes, causing persistent, systemic failures, some of which only become evident over time. Most traditional cybersecurity tools are not equipped to recognize those breakdowns because they assume deterministic behavior and rules-based logic. AI systems defy those assumptions because AI is probabilistic, not deterministic. Consequently, attacks on AI models may remain hidden for extended periods.

Unlike traditional cybersecurity threats that target code, adversarial AI attacks target the underlying data and algorithms that govern how AI systems learn, reason and make decisions. Consider the following predominant adversarial attack methodologies on machine learning:

• Poisoning attacks inject malicious data into training datasets, corrupting the model's learning process and creating deliberate vulnerabilities or degraded performance.
• Inference-related attacks exploit model outputs to extract sensitive information or learn about its training data. This includes model inversion, which reconstructs sensitive data from the model's outputs, as well as membership inference, which identifies whether specific data points were used in training.

The expansion of existing security frameworks and programs is necessary to cover the enumeration, disclosure and downstream management of security risks to AI systems.

Advancing AI Security Through the AI Action Plan

In July, the Administration unveiled the AI Action Plan, an innovation-first framework balancing AI advancement with security imperatives. The Plan prioritizes Secure-by-Design AI technologies and applications, strengthened critical infrastructure cybersecurity and protection of commercial and government AI innovations.

Notably, it recommends establishing an AI Information Sharing and Analysis Center (AI-ISAC) to facilitate threat intelligence sharing across U.S. critical infrastructure sectors and encourages sharing known AI vulnerabilities, “tak[ing] advantage of existing cyber vulnerability sharing mechanisms.” These provisions affirm that AI security underpins American leadership in the field and, where possible, should be built upon existing frameworks.

Redefining Boundaries for AI Threats

To position the CVE Program for the AI-driven future, Palo Alto Networks is engaging directly with industry and program stakeholders to chart the path forward. Traditionally, the CVE Program serves as an ecosystem-wide central warning system. It provides a unified source of truths for security risks. A security risk catalog and identification system are needed for AI systems, as they currently fall outside the traditional scope of the CVE Program that has focused exclusively on vulnerabilities rather than on malicious components. The historical aperture of the current CVE Program excludes harmful artifacts, such as backdoored AI models or poisoned datasets, which represent fundamentally different attack vectors, in turn creating security blind spots.

Securing AI’s Promise

The United States leads in AI innovation and must equally lead in securing it. As momentum builds behind the AI Action Plan and the establishment of the AI-ISAC, we have a critical window to shape information sharing frameworks of the future. The goal is to ensure that cybersecurity and AI security infrastructure advance in unison with the technology itself. Integrating new AI vulnerability standards into trusted frameworks like the CVE Program aligns with industry focus and needs. Through proactive, coordinated action, we can unlock AI’s full promise while safeguarding the models that are embedded in the critical systems on which our nation depends.

The post Bridging Cybersecurity and AI appeared first on Palo Alto Networks Blog.

Artificial intelligence has shifted to being the primary engine for market leadership. To compete, enterprises are shifting from general-purpose computing to AI factories, specialized infrastructures designed to manage the entire lifecycle of AI. However, this transition requires robust security without sacrificing performance and efficiency.

We are proud to announce that Palo Alto Networks Prisma^® AIRS™, accelerated on the NVIDIA BlueField data processing unit (DPU), is now part of the NVIDIA Enterprise AI Factory validated design.

The integrated solution embeds zero trust security directly into the AI infrastructure, providing comprehensive protection without impacting AI performance. By deploying Palo Alto Networks Prisma^® AIRS™ Network Intercept directly onto the NVIDIA BlueField and extending to the cloud, Prisma AIRS establishes an essential zero trust governance fabric for the AI factory, enabling enterprises to accelerate innovation while maintaining control.

This critical architectural shift enables optimal AI performance and infrastructure efficiency by offloading security processing to an isolated domain, while leveraging the DPU's hardware acceleration via NVIDIA DOCA to enforce security policies at line speed. The implementation also leverages real-time workload information captured using DOCA Argus, which is then passed to Cortex XSIAM^® where it is used for AI-driven responses using the Cortex XSOAR^® orchestration platform.

Rich Campagna, SVP Product Management, Palo Alto Networks said:

The AI Factory is the new engine for value creation, and securing it is a board-level imperative. The validation of Palo Alto Networks Prisma AIRS accelerated with NVIDIA BlueField within the NVIDIA Enterprise AI Factory enables a new security architecture for the AI era. We are embedding trust directly into the infrastructure, giving leaders the confidence to safeguard their proprietary intelligence and deploy AI bravely.

Kevin Deierling, senior vice president of Networking at NVIDIA said:

AI is transforming every industry and security must evolve to protect AI factories. To be scalable, security must be distributed and embedded within the AI infrastructure. This is achieved with NVIDIA BlueField running Palo Alto Networks Prisma AIRS to deliver robust, runtime security for the AI factory, with optimal AI performance and efficiency.

Deploy AI Bravely with a Future-Proof Foundation

The Future of Secure AI Factories

In addition to deploying Palo Alto Networks Prisma AIRS on NVIDIA BlueField in a distributed model, it’s essential to maintain a centralized Hyperscale Security Firewall (HSF) cluster at the ingress and egress points of the AI factory to enforce a defense-in-depth strategy. Beyond network segmentation, individual workloads can selectively route traffic through hyperscale clusters to detect advanced application-layer threats and prevent lateral movement. These hyperscale firewall clusters scale elastically with demand, delivering session resiliency and the high availability required for critical AI operations.

This architecture fundamentally improves the Total Cost of Ownership (TCO) for AI infrastructure. By isolating security functions on BlueField, enterprises enable 100% of host computing resources to be dedicated to AI applications. This elimination of resource contention allows the AI Factory to maximize token throughput and capital efficiency.

This validated design is the blueprint for immediate efficiency. It provides a seamless path for enterprises to shift from general-purpose clusters to secure AI factory infrastructure without costly overhauls. More importantly, this collaboration establishes an unparalleled roadmap for future-proofing your investment. By securing operations with the high-performance NVIDIA BlueField-3 today, the architecture is inherently ready for the next generation, NVIDIA BlueField-4. This forward compatibility helps AI factories immediately handle gigascale demands, scaling up to 6X the compute power and doubling the bandwidth when BlueField-4 becomes available.

The inclusion of the Palo Alto Networks Prisma AIRS platform in the NVIDIA Enterprise AI Factory Validated Design bolsters enterprise AI security. By establishing the zero trust governance fabric of Prisma AIRS runtime security on NVIDIA BlueField, organizations gain a comprehensive defense. Proprietary and sensitive data is secured throughout the entire stack, and models are protected from adversarial threats, such as prompt injection attacks. With Prisma AIRS, the world's most comprehensive AI security platform, leaders gain the confidence to innovate and deploy AI bravely. This validated design is the essential blueprint for securely accelerating your market leadership without compromising security.

Join our "How to Secure the AI Factory" breakout session at NVIDIA GTC 2026, March 16-19, in San Jose, CA to hear more about this transformative solution and accelerate your AI innovation securely.

The post Palo Alto Networks Announces Support for NVIDIA Enterprise AI Factory appeared first on Palo Alto Networks Blog.

Here is an overview of content I published in 2025:

Blog posts:

• Update: strings.py Version 0.0.11
• Quickpost: Electrical Power & Mining
• Update: Python Templates Version 0.0.12
• Update: cs-decrypt-metadata.py Version?0.0.5
• Update: zoneidentifier.exe Version 0.0.2
• Update: oledump.py Version 0.0.79
• Update: 1768.py Version 0.0.23
• Update: pdfid.py Version 0.2.10
• Update: pdf-parser.py Version 0.7.11
• Update: xmldump.py Version 0.0.10
• Update: zipdump.py Version 0.0.31
• Quickpost: Electrical Power & Mining: Dissipated Heat
• Update: xorsearch.py Version 0.0.2
• Update: xorsearch.py Version 0.0.3
• Quickpost: Testing The Capacity Of My New Power Bank
• Update: xorsearch.py Version 0.0.4
• Update: basedump64.py Version 0.0.28
• Update: emldump.py Version 0.0.15
• Update: pecheck.py Version 0.7.17
• Update: rtfdump.py Version 0.0.13
• Update: zipdump.py Version 0.0.32
• Update: oledump.py Version 0.0.80
• Update: pdf-parser.py Version 0.7.2
• Update: re-search.py Version 0.0.23
• Update: xorsearch.py Version 0.0.5
• Update: myjson-filter.py Version 0.0.7
• Update: oledump.py Version 0.0.81
• Update: process-binary-file.py Version 0.0.11
• Quickpost: Airplanes & Radiation
• Update: oledump.py Version 0.0.82
• Update: myjson-filter.py Version 0.0.8
• Update: myjson-transform.py Version 0.0.2
• Update: search-for-compression.py Version 0.0.4
• Quickpost: Firefox Profiles and Multiple Instances
• Quickpost: emldump Bulk Extraction
• DSS_DEFAULT_HASH_ALGORITHMS
• Python Requirements for Didier Stevens Suite
• Quickpost: USB-C Couplers
• Update: pngdump.py Version 0.0.7
• My Fridge & My Portable Power Station
• Update: pecheck.py Version 0.7.18
• Update: search-for-compression.py 0.0.5
• Update: myjson-filter.py Version 0.0.9
• Update: virustotal-search.py Version 0.1.9
• New Tool: myipaddress.py
• Update: teeplus.py Version 0.0.2
• Quickpost: Doorbell & Condensation
• Quickpost: 12V Portable Power Station
• Update: pdf-parser.py Version 0.7.13
• Quickpost: PEP 515 ? Underscores in Numeric Literals
• Update: dnsresolver.py Version 0.0.4
• Bytes over DNS Tools
• Update: cs-parse-traffic.py Version 0.0.6
• Update: numbers-to-hex.py Version 0.0.4
• Quickpost: Power Requirements Of A Keylogger
• Quickpost: CR1225 vs CR1220
• Copy/Paste Delays In Excel Because Of Default Printer
• Quickpost: USB Electric Razor
• Quickpost: USB-C Rechargeable Batteries
• USB Trigger Boards
• Update: pecheck.py Version 0.7.19
• Using a USB-C Trigger Cable To Power An FM Radio

SANS ISC Diary entries:

• Wireshark 4.4.3 Released
• Multi-OLE
• Partial ZIP File Downloads
• Crypto Wallet Scam
• Crypto Wallet Scam: Not For Free
• Reminder: 7-Zip & MoW
• Wireshark 4.4.4 Released
• Wireshark 4.4.5 Released
• Mark of the Web: Some Technical Details
• Static Analysis of GUID Encoded Shellcode
• XORsearch: Searching With Regexes
• xorsearch.py: Searching With Regexes
• Wireshark 4.4.6 Released
• xorsearch.py: “Ad Hoc YARA Rules”
• Steganography Analysis With pngdump.py
• Steganography Analysis With pngdump.py: Bitstreams
• Steganography Challenge
• Steganography Challenge: My Solution
• xorsearch.py: Python Functions
• YARA 4.5.3 Release
• Wireshark 4.4.7 Released
• Extracting With pngdump.py
• A JPEG With A Payload
• ADS & Python Tools
• Wireshark 4.4.8 Released
• WinRAR MoTW Propagation Privacy
• Wireshark 4.4.9 Released
• pdf-parser: All Streams
• BASE64 Over DNS
• Web Searches For Archives
• Wireshark 4.4.10 and 4.6.0 Released
• Kaitai Struct WebIDE
• Bytes over DNS
• Honeypot: Requests for (Code) Repositories
• Honeypot: FortiWeb CVE-2025-64446 Exploits
• SANS Holiday Hack Challenge 2025
• Finger.exe & ClickFix
• Decoding Binary Numeric Expressions
• Wireshark 4.4.1 Released
• YARA-X 1.10.0 Release: Fix Warnings
• Wireshark 4.6.2 Released
• DLLs & TLS Callbacks

Here is an overview of content I published in December: Blog posts:

• Quickpost: USB Electric Razor
• Quickpost: USB-C Rechargeable Batteries
• USB Trigger Boards
• Update: pecheck.py Version 0.7.19
• Using a USB-C Trigger Cable To Power An FM Radio

SANS ISC Diary entries:

• Wireshark 4.6.2 Released
• DLLs & TLS Callbacks