Palo Alto Networks is pleased to announce the successful completion of a new Cloud Medium security assessment conducted by the Canadian Centre for Cyber Security (Cyber Centre), significantly expanding the number of Palo Alto Networks cloud services assessed for Protected B / Medium Integrity / Medium Availability (PBMM) environments. This assessment includes a broad range of capabilities across our Cortex®, Cortex Cloud and Strata™ platforms. By achieving this milestone, Palo Alto Networks enables  organizations handling Canada’s most sensitive data to leverage a unified, AI-driven security architecture without compromising on compliance or operational resilience.

For years, many organizations viewed PBMM as something that only mattered to the Canadian federal government. It was often seen as a procurement requirement—a framework tied to public sector cloud adoption, relevant for departments handling Protected B information, but not necessarily for the private sector.

That assumption is changing.

The reality is that the challenges driving PBMM are no longer unique to government environments. Banks, energy providers, transportation networks, healthcare organizations, crown corporations, and other critical infrastructure operators are now facing many of the same pressures:

• Expanding attack surfaces across hybrid and multi-cloud environments.
• Increased regulatory scrutiny and privacy obligations.
• Greater operational dependence on cloud and AI technologies.
• Increased reliance on third-party providers and software supply chains.
• The need to maintain operational resilience during cyber incidents and disruptions.
• A growing expectation that organizations can demonstrate—not just claim—security maturity.

That is why PBMM matters far beyond Ottawa. At its core, PBMM represents a rigorous approach to validating whether enterprise-grade security platforms can operate securely in environments where trust, resilience, and operational continuity are critical.

Increasingly, that level of assurance matters to everyone.

What PBMM Really Represents

PBMM, a rigorous cybersecurity and data classification standard used by the  Canadian Centre for Cyber Security, stands for Protected B / Medium Integrity / Medium Availability. While often associated with federal cloud security requirements, PBMM is not simply a checkbox exercise. It is a comprehensive assessment framework aligned to Canadian cybersecurity guidance and operational security expectations.

What makes PBMM important is that it evaluates whether platforms and services can securely support sensitive and mission-critical workloads in real-world environments.

Palo Alto Networks meeting these rigorous PBMM requirements through three core pillars:

• Strata (Network Security): Secures data resiliency and zero trust connectivity, driving robust perimeter and cloud edge protection.
• Cortex Cloud (Cloud Security): Provides complete visibility, security governance, and data protection across complex cloud-native architectures.
• Cortex (Security Operations): Powers the agentic SOC, combining unified data, AI, and automation to detect and respond to threats in real time.

These are not theoretical requirements. They are practical operational expectations designed for environments where downtime, visibility gaps, or security failures can have significant consequences.

Organizations today are no longer evaluating cybersecurity solely based on features. They are evaluating whether platforms can be trusted to support critical operations at scale.

Why Security Expectations Are Changing

The cybersecurity landscape has evolved dramatically. Infrastructure is distributed across cloud providers, SaaS applications, remote users, third-party integrations, operational technology (OT), AI platforms, and interconnected supply chains. At the same time, attacks have become faster, more automated, and more disruptive.

In this environment, security can no longer be treated as a compliance exercise. Organizations need confidence that their platforms, operational processes, and security controls can function effectively under pressure.

This is why Palo Alto Networks has undertaken independent PBMM assessments across its portfolio, providing customers with greater assurance and trust. By meeting these rigorous standards into Strata and Cortex, we enable non-government entities—like financial institutions and utility providers—to deploy the same defensive rigor used to protect national security systems.

Transforming Critical Infrastructure with a Unified Platform

To effectively manage risk, critical infrastructure operators require a platform approach that helps eliminate security silos, reduce manual intervention, and accelerate threat mitigation.

Key Portfolio Advantages for Critical Infrastructure & Enterprise:

• AI-Driven Threat Detection & Response: Cortex XSIAM® and Cortex XDR® unify telemetry across endpoints, network, and cloud to deliver unparalleled visibility and automated threat stitching, neutralizing advanced cyberthreats before they disrupt operations.
• Comprehensive Cloud Native Protection: Cortex Cloud secures applications from code to cloud to SOC, offering posture security, data protection, and continuous compliance monitoring tailored to stringent Canadian data standards.
• Zero Trust Network Security: Strata enables secure access and consistent policy enforcement across campus, branch, and data center environments, protecting critical OT and IT systems from lateral threat movement.
• Elite Incident Response: Backed by Unit 42®, organizations gain access to threat intelligence and rapid incident response services to augment their teams and build long-term cyber resilience.

Operational Resilience Is Becoming a Strategic Requirement

One of the most significant shifts occurring across industries today is the growing focus on operational resilience. Organizations are increasingly asking questions that extend beyond traditional cybersecurity controls:

• Can we maintain critical services during a cyber attack?
• Do we have visibility across our cloud environments and supply chain dependencies?
• Can we rapidly detect, respond to, and recover from disruptions?
• Are our governance processes keeping pace with cloud adoption and AI innovation?

As organizations adopt cloud-native architectures, AI-driven technologies, and interconnected digital ecosystems, resilience has become a board-level concern. The ability to prevent incidents remains important, but organizations are equally focused on their ability to withstand, respond to, and recover from them.

This is where frameworks like PBMM provide value. Beyond evaluating security controls, PBMM assesses the governance, operational processes, monitoring capabilities, and risk management practices that help organizations operate securely.

For critical infrastructure operators, resilience is no longer simply an IT objective—it is a business imperative. Increasingly, the organizations that earn trust are those that can demonstrate they are prepared to operate effectively when disruption occurs.

Final Thoughts: PBMM Reflects the Future of Trust

PBMM may have started solely as a government assessment framework, but its relevance now extends far beyond federal environments. It represents something universal: the ability to operate securely, reliably, and transparently in environments where trust matters most.

By expanding our PBMM-assessed offerings across Cortex and Strata, Palo Alto Networks underscores its commitment to securing Canada's digital future. We provide the validated foundation organizations need to innovate with confidence, protect sensitive data, and maintain operational continuity under any circumstance.

Read the Assessment Summary Report

To learn more about the Palo Alto Networks Cloud Medium security assessment, review the publicly available assessment summary report issued by the Canadian Centre for Cyber Security.

Ready to modernize your defenses with PBMM-assessed solutions? Schedule a demo with our team or contact Unit 42 to learn how we can help elevate your organization's resilience against emerging cyber threats.

The post Securing Canada’s Digital Future: Why PBMM Matters Beyond Government appeared first on Palo Alto Networks Blog.

The release of OMB Memo M-26-14 ("Ensuring Effective and Efficient Agency Logging and Network Visibility to Defend Against Evolving Cyber Threats") marks a historic turning point in federal cybersecurity. By officially rescinding the M-21-31 directive, the White House has delivered a clear message to federal IT leaders: the era of compliance-driven data hoarding is officially over.

While the previous framework was a well-intentioned response to the SolarWinds breach, its mandate to collect and retain vast oceans of unstructured logging data created unintended, unsustainable operational burdens. For the past several years, federal agencies have faced skyrocketing cloud storage bills and overwhelmed Security Operations Centers (SOCs). Crucially, they have been left with vast quantities of cold data that lacked clear operational utility.

As OMB noted, retaining endless data without operational focus is neither cost-effective nor operationally feasible. With M-26-14, the federal government is pivoting to a smarter, sleeker, and far more decisive strategy: a risk-based, prioritized logging framework driven by AI and machine-speed defense.

The Core Shifts: What Federal Leaders Must Understand

M-26-14 strips away administrative "red tape" to focus on how modern cybersecurity risks have evolved. Nation-state threat actors are actively leveraging advanced automation and Artificial Intelligence (AI) to orchestrate attacks at unprecedented speeds. They move laterally across agencies in minutes, hiding behind legitimate corporate credentials.

To beat machine-speed threats, your data layer must operate at machine-scale. The new memo reorganizes federal visibility around two foundational pillars:

1. Continuous Event Monitoring — Owning the Present

Continuous Event Monitoring demands that logging infrastructure shift from a passive archiving tool to a live-streaming asset. Agencies are now required to monitor network and asset activity in real time, rapidly flag anomalous behavior via behavioral analytics, and initiate immediate mitigation actions directly through their SOCs.

2. Threat Hunting, Investigation, Response, and Forensics — Dominating the Post-Compromise

When a compromise is suspected, agencies can no longer spend days running slow database queries or pulling disconnected csv files. M-26-14 mandates that agencies keep 6 months of logs "hot and searchable" and 1 year fully "retrievable." This allows defenders to immediately stitch together cross-domain attack patterns, perform rapid root-cause forensics, and share threat intelligence seamlessly with CISA and the FBI.

3. Expanding the Blast Radius: Entering IoT and OT

Perhaps the most significant structural change is the explicit inclusion of Internet of Things (IoT) and Operational Technology (OT) systems. Adversaries do not respect the boundary between your corporate IT network and your physical infrastructure. Under M-26-14, your logging and threat-hunting capabilities must aggressively cover the entire enterprise—from public cloud workloads to the physical facility controls and critical infrastructure grids running on an agency's behalf.

The Clock is Ticking: The Aggressive Maturity Deadlines

Agencies cannot afford a passive approach. The timeline established by OMB M-26-14 moves quickly:

• T+90 Days: CISA will publish the new Logging Reference Architecture (LRA) codifying hybrid/centralized deployments, Zero Trust Maturity Model (ZTMM) integration, and AI-driven monitoring guidelines.
• LRA +90 Days: Agencies must submit their comprehensive Agency Logging Plans.
• LRA +120 Days: Achieve Basic Level 1 Maturity.
• LRA +180 Days: Achieve Intermediate Level 2 Maturity.
• LRA +320 Days: Achieve Advanced Level 3 Maturity (Advanced/Optimal Effectiveness).

Activating OMB M-26-14 with Palo Alto Networks Cortex

Trying to retrofit a legacy SIEM architecture to meet the advanced or optimal effectiveness tiers of M-26-14 is an engineering and budgetary dead end. Legacy SIEMs scale costs linearly with ingestion and rely on static, human-written correlation rules that fail against AI-fueled threats.

The FedRAMP Certified Palo Alto Networks Cortex platform—anchored by Cortex XSIAM (Extended Security Intelligence and Automation Management)—was engineered from the ground up to solve the exact problems this new memo addresses.

From Disconnected Columns to Cross-Domain "Stitching"

Legacy logging stores data in isolated silos. An analyst trying to track an adversary has to manually look at an identity log, cross-reference it with a network firewall alert, and match it to an endpoint execution.

Cortex XSIAM features a revolutionary Analytics Engine that automatically stitches multi-vendor logs across cloud, network, endpoint, and identity at the moment of ingestion. It transforms raw text into a single, cohesive, context-rich story, instantly aligning incidents with the MITRE ATT&CK framework.  Cortex XSIAM doesn’t just ingest data, it understands the data which enables stitching of multiple data elements into a single, multi-context construct which accelerates analysis via AI and machine learning.

Replacing Static Rules with Cloud-Scale AI

Adversaries use AI to evade signature detection. Cortex XSIAM fights fire with fire, applying out-of-the-box, unsupervised machine learning models to baseline normal behavioral patterns across your entire federal enterprise. When an anomalous lateral movement, data exfiltration attempt, or credential abuse event occurs, XSIAM flags the threat instantly—without requiring your team to spend weeks writing custom correlation code.

Accelerating Continuous Event Monitoring (CEM) and Threat Hunting, Investigation, Response and Forensics (THIRF)

There is more to CEM than just monitoring network activity.  Activity on endpoints, within your identity management solution(s) and in the cloud are just as important.  Understanding the data, knowing which log records are related to each other across multiple log sources, which events are relevant and the context they provide is required.  

Understanding these events and their contextual relationships is fundamental to providing THIRF in an efficient manner.  Cortex XSIAM provides over 2,900 machine learning models out of the box, models that are trained on the data in your environment so they detect anomalous activity based on what is “normal” in your environment, not trained on generic data from other customers or a lab.  These models can identify threats based on data stitched together from multiple sources to provide a more complete context yielding more accurate and consistent results while decreasing time to value.

Securing the Unmanageable: Agentless IoT/OT Defense

You cannot install an EDR logging agent on a smart building HVAC system or an industrial programmable logic controller (PLC). Palo Alto Networks utilizes non-disruptive, passive network analysis to continuously discover, profile, and generate high-fidelity security logs for IoT and OT infrastructure. These logs stream directly into XSIAM, eliminating critical federal blind spots and protecting your High Value Assets (HVAs) from cross-boundary pivot attacks.

Solving the Storage Conundrum Safely

Keeping six months of high-velocity event logs fully "hot and searchable" under a traditional database indexing model creates a crushing financial burden. Cortex XSIAM fundamentally resets the Total Cost of Ownership (TCO) equation by leveraging an index-free, cloud-native data lake architecture that decouples storage costs from analytical performance. By eliminating legacy ingestion taxes and infrastructure overhead, federal defenders can search petabytes of data in seconds—effortlessly meeting the 6-month searchable and 1-year retrievable thresholds. Furthermore, integrated data masking rules strip away sensitive PII or low-value data noise before it hits the SOC, ensuring agencies only pay for operationally vital intelligence.

 

The Bottom Line for Federal Leaders

OMB M-26-14 is a massive step forward for federal cybersecurity. It frees CISOs from the operational gridlock of untargeted data archiving and empowers them to build faster, modern, and highly responsive security operations.

Meeting the strict 120-to-320-day maturity milestones requires moving past the tools of the last decade. By partnering with Palo Alto Networks and deploying the Cortex suite, federal agencies can seamlessly transition into a risk-aligned, AI-driven SOC. They can confidently check the box on OMB compliance while achieving what the directive actually intends: protecting the resilience and integrity of the federal mission at machine speed.

Palo Alto Networks’ Cortex XSIAM is FedRAMP certified at both the moderate and high levels.

Want to learn more about how to structure your upcoming Agency Logging Plan to meet CISA's upcoming Logging Reference Architecture? 

Contact the Palo Alto Networks Federal Team today to schedule an architectural deep-dive.

The post Shifting from Data Hoarding to Active Defense: Navigating the New Era of OMB M-26-14 appeared first on Palo Alto Networks Blog.

Microsoft today released software updates to plug nearly 200 security holes across its Windows operating systems and supported software, a record number of fixes for the company’s monthly Patch Tuesday cycle. Nearly three dozen of those bugs earned Microsoft’s most dire “critical” rating, and exploit code for at least three of the weaknesses is now publicly available.

The software giant said in a blog post last month that both its engineers and the security community are increasing using artificial intelligence tools to find bugs, meaning this month’s heavy Patch Tuesday may start to become the norm, said Satnam Narang, senior staff research engineer at Tenable.

“Some surveys put AI usage among security professionals generally at 90%, so it’s unsurprising that this volume of patches may be the norm,” Narang said. “Pandora’s proverbial box has been opened, and as more advanced AI models become available, we expect the norm to continue upward across the board, not just for Patch Tuesday.”

June’s zero-day bugs include CVE-2026-49160, a denial of service vulnerability affecting a range of web servers, including Microsoft Internet Information Services (IIS). Microsoft says the flaw was reported by OpenAI’s Codex.

Two of the zero-days addressed this month appear to stem from recent vulnerability disclosures by Nightmare Eclipse, the nickname chosen by a security researcher who has been dropping exploits for various Windows flaws. One of those, dubbed “GreenPlasma,” leverages an elevation of privilege weakness in the Windows Collaborative Translation Framework, the same framework patched today in CVE-2026-45586.

Nightmare Eclipse also last month released “YellowKey,” an exploit for a Windows BitLocker vulnerability that allows an attacker with physical access to view encrypted data, and CVE-2026-50507 is a patch for an elevation of privilege bug in BitLocker.

Microsoft received heavy blowback on social media last month after it said in a blog post that it was considering taking legal action against the security researcher. The company later clarified on Twitter/X that while it has no intention of pursuing legal actions against researchers, it would report them to authorities if they break the law. The advisories for CVE-2026-49160 and CVE-2026-50507 do not credit any researchers in the acknowledgement section, saying only that “Microsoft recognizes the efforts of those in the security community who help us protect customers through coordinated vulnerability disclosure.”

Nightmare Eclipse claims to be a former employee of Microsoft, although Microsoft has not responded to questions about this claim. Rapid7 notes that a recent blog post by Nightmare Eclipse included an image of Albert Wesker, a character from the Resident Evil video game series who formerly worked as a researcher for a technology company before going rogue.

Nightmare Eclipse has pledged to release even more zero-day exploits for Windows in what they called a “bone shattering” drop planned for July 14 (the same day as next month’s Patch Tuesday). Immediately following the release of Microsoft patches today, the researcher published an exploit for what they claimed was a zero-day bug in Windows Defender.

While 200 vulnerabilities may be a record for Patch Tuesday, the actual number of security flaws Microsoft addressed this month is far higher, said Rapid7’s Adam Barnett.

“So far this month, Microsoft has provided patches to address 360 browser vulnerabilities, which is an order of magnitude more than has been typical in any given month over the past few years,” Barnett wrote. “As usual, browser [flaws] are not included in the Patch Tuesday count above. Indeed, the vast, and presumably sustained, uptick in the number of browser vulnerabilities has led to Microsoft no longer enumerating Chromium CVEs in the Security Update Guide.”

Microsoft also patched a zero-day vulnerability in Visual Studio Code that allows attackers to steal GitHub tokens with a single click. The company was forced to push a stopgap fix for the flaw on June 3, after a researcher published instructions showing how to exploit it. The researcher said they opted not to work with Microsoft because of a recent experience wherein Redmond silently patched a flaw they reported without offering credit or recognition.

Microsoft battled its own internal zero-day emergencies last week, after at least 72 of the company’s public code repositories were infected with a variant of the Shai-Hulud worm. Researchers found that all of the affected packages were connected to Microsoft official Azure Durable Task SDK, which got hit by the same Shai-Hulud worm in May.

Other major software makers are also shipping outsized update bundles this month. Adobe has released updates to fix a massive number of critical vulnerabilities across a range of products, including Adobe Experience Manager, Acrobat Reader and Cold Fusion. On June 3, Google resolved a whopping 429 vulnerabilities in its latest Chrome browser update (Chrome automatically downloads updates but installing them usually requires a complete restart of the browser).

As ever, please consider backing up your data before applying operating system updates, and drop a note in the comments if you run into any problems with this month’s patches.

Further reading:

Microsoft’s Security Update Guide

Action1’s Patch Tuesday breakdown

SANS Internet Storm Center notes on Patch Tuesday

Helping Partners Stay Competitive for the Future

Key Takeaways

• The evolved NextWave Partner Program raises expectations while strengthening enablement, incentives and the Partner Development Fund to support partner growth and reinvestment.
• Levels and specializations are more closely aligned to next-generation security priorities, helping partners deepen expertise and making partner distinctions more meaningful for customers.
• These changes help create a more capable partner ecosystem, with deeper capabilities, greater alignment with customer needs, and a stronger foundation to support the future of security.

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Cybersecurity partnerships are operating in a more demanding environment. As customers consolidate vendors, modernize security architectures and adopt artificial intelligence (AI) across the enterprise, they’re placing greater expectations on partners to help guide decisions across network, cloud and security operations. They also want clearer evidence that their selected partners have invested in growing the skills and expertise needed to support more integrated and fast-changing security priorities.

The Palo Alto Networks NextWave Partner Program has evolved to help partners meet these heightened expectations. As security delivery becomes broader and more strategic, customers are placing more weight on what a partner’s credentials actually represent. That’s why stronger performance and enablement requirements are part of our reimagined program. The new requirements help partners better understand what they need to build real capability and advance within our program. They also give more substance to the designations customers see when choosing a partner.

Our objective was never simply to raise the standards for engagement in our program. It was to inspire partners at all levels – Registered, Innovator, Platinum and Diamond – to invest deliberately and continuously in learning, so they can deepen their proficiency and earn specializations that will help them stay competitive and build and deliver the future of security.

Why Requirements and Incentives Had to Evolve Together

Raising performance expectations was only part of the work in evolving the NextWave program. We also wanted to give our partners compelling reasons to invest in the capabilities Palo Alto Networks wants to see scale. That meant looking more closely at how standards, specializations and incentives fit together, and how we can help accelerate mutual success.

We are providing our partners with better access, better visibility and better support for learning and enablement. In turn, we are recognizing and rewarding partners for their efforts to develop and maintain the competency, capability and capacity needed to go to market successfully with Palo Alto Networks.

This approach, shaped largely by partner feedback, is designed to make incentives easier to access while still directing partner investment toward deeper specialization and next-gen security capabilities. Program levels and product specializations help define what partners need to do to grow within our program and to excel at selling, supporting or delivering Palo Alto Networks products and services.

The program’s Partner Development Fund adds another dimension to this evolved model. It gives all partners a more deliberate way to reinvest a portion of their earned incentives into the capabilities they need to stay competitive and innovate, including training, certification, workshops, demos and other strategic activities that help strengthen their team’s overall readiness over time. In that sense, the program is both rewarding current performance and driving mutual growth.

Training and Enablement that Move with the Market

As we continue to strengthen our partner program, Palo Alto Networks is refreshing courses, updating certification paths and redesigning training to better reflect the customer needs that partners are helping to address today, including emerging areas like AI security.

Notable improvements:

• Introduced more online, on-demand learning experiences across all products and across all roles, including sales, technical presales and post-sales professionals.
• Expanded access to lab environments for hands-on experiences, as well as access to perform demos for customers.
• Injected AI roleplay into learning experiences to help sales and presales teams improve their ability to educate customers about our products and services while addressing questions or concerns.
• Instituted a continuous education component that encourages partners to stay current with certifications and other program requirements, so they don’t need to be tested annually.

Our aim with these changes is to keep learning options relevant, practical and easier to engage in and apply in practice. We believe product and services training should help partners deepen expertise, validate skills and stay current as technologies, customer expectations and threats shift. It should also recognize the experience many professionals already bring to the table, with learning paths that are rigorous without being repetitive or unnecessarily burdensome.

Ultimately, the impact of providing more effective enablement for our partners (and outlining clear requirements for advanced specializations and total certified staff for specific partner paths) positively impacts the customer experience through more informed conversations, stronger design guidance and more consistent support across the entire security lifecycle.

A More Focused Program to Help Accelerate Next-Generation Security

Part of what makes the current evolution of the NextWave program so significant is its focus on helping partners build the bench strength they will need to stay competitive as security becomes more platform-driven, AI-influenced and interconnected across domains. The program also encourages bookings tied to next-generation security priorities, helping direct partner investment toward the areas customers are prioritizing most. That focus is especially visible in areas such as Idira^®, Prisma^® SASE, Cortex^® Cloud and Cortex, where customer demand and program priorities are increasingly aligned.

The benefits of that alignment extend beyond the partner organization. Customers gain access to partners that are better prepared to support more connected security strategies without adding unnecessary complexity. They can work with partners that are building expertise around the technologies and use cases becoming more central to modern enterprise security programs.

This kind of alignment also strengthens the broader ecosystem. It creates a clearer connection between customer needs, partner capabilities and Palo Alto Networks platform strategy. It’s the value exchange in cybersecurity in action: Ongoing investment in knowledge, skills and services that helps partners grow while giving customers faster time-to-value realization.

What Stronger Program Requirements Mean for Customers

For customers, stronger requirements for our Nextwave program can make partner distinctions more meaningful. A specialization or program level should point to something real, such as training completed, certifications maintained and expertise developed. While those accomplishments don’t guarantee security outcomes, they do provide evidence that a partner has built the depth needed to support more complex environments.

Partner distinctions are also reinforced through an active compliance framework rather than treated as a one-time achievement. Partners have ongoing visibility into their progress and can be recognized immediately throughout the year as they meet requirements. Reviews take place on a defined cycle, and status changes are subject to oversight. Taken together, these elements add credibility to the designations customers see and give them more weight in the partner selection process.

This becomes increasingly important as customers look for security partners that can do more than support a single transaction or product decision. Many are seeking guidance at the architecture stage and during implementation, and expecting continuity as IT environments evolve and new risks emerge. It also raises the level of scrutiny that partner selection deserves:

• Is a partner specialized in the areas most relevant to the customer’s priorities?
• Do they have the certifications and technical expertise required to support the solutions being considered?
• Can they provide the level of guidance, implementation support and ongoing engagement the relationship will require over time?

In a fast-moving security market, questions like these can help customers make more informed decisions about which partners are best equipped to deliver long-term value.

What Partners Should Do Now

Now that we’ve introduced our new program requirements, partners should take stock of whether their certifications, specializations and go-to-market priorities are aligned to where customer demand and the future of security are headed. Steps partners can take:

• Evaluate your current book of business: Consider where you may be missing growth opportunities because the right specializations aren’t yet in place. Those gaps can affect both business momentum and the ability to earn incentives.
• Reflect on the current direction of your practice: Which customer conversations are signaling the need for deeper expertise? Which areas of next-generation security are becoming more central to your future? These questions can help guide your next investments by clarifying where your practice needs to build more depth sooner rather than later.
• Review certifications and specializations with growth in mind: Look at where new specializations could open the door to additional incentives and stronger alignment with customer demand, while ensuring your team’s existing certifications and specializations remain on track for the next compliance cycle.

Partners that take the time now to assess our new requirements and create a plan to meet them will be better positioned to advance within and benefit from our partner program, while developing the capabilities needed to help build the future of security.

Partners with a designated Palo Alto Networks Channel Business Manager can get detailed data and analysis now on their progress and performance in the Nextwave program, including the status of their certifications and which team members have engaged in training, demos and more. In the second half of 2026, we plan to make the same dashboard capabilities and insights directly available to all partners, so they can understand exactly what they need to do to excel in our program. These red-yellow-green dashboards are simple but powerful tools, and we are eager to put them in our partners’ hands soon.

Visit the NextWave Partner Portal to learn more.

The post The “Why” Behind NextWave’s New Requirements appeared first on Palo Alto Networks Blog.

Over the past few weeks, we have reached a critical turning point in cybersecurity. Following the launch of our Frontier AI Defense initiative, we’ve continued testing the latest frontier models (including Anthropic’s Mythos and Claude Opus 4.7, as well as OpenAI’s GPT-5.5-Cyber) as part of the Trusted Access for Cyber program.

The urgency to innovate continues to ramp up. As Lee Klarich recently detailed in his Defender's Guide to the Frontier AI Impact on Cybersecurity, our current landscape is defined by a brief three-to-five-month window to gain a strategic advantage over attackers. To outsmart AI-based exploits, enterprises must decisively address vulnerabilities across their code and stand up the right security stack to enable real-time, automated defenses.

With such a ticking clock in front of us, acting rapidly and at-scale to support our customers is paramount. Today, we exponentially grow our scale of delivery by expanding our Frontier AI Alliance.

Since introducing this initiative, our collaboration with initial partners – Accenture, Deloitte, IBM, NTT DATA, and PwC – has already begun changing the defensive math for our customers. This is a moment that calls for radical collaboration across the entire security ecosystem, so today we are proud to welcome a new cohort of strategic partners – Cognizant, HCLTech, Kyndryl, TCS, Infosys, McKinsey & Company, Orange Cyberdefense, and Wipro – who will join us in delivering AI readiness at scale.

While this expansion significantly increases our reach, this is only the beginning. We are committed to a continuous evolution of this alliance and will be adding more critical partners in the future across the globe to ensure our customers have the most robust defense network possible.

By combining our technology with these partners’ deep consulting expertise, we are delivering:

• Machine-Speed Security: Natively integrating Frontier AI to provide real-time, automated defense against autonomous threats.
• Intelligence-Led Resilience: Leveraging Unit 42^® experts to fast-track the discovery and remediation of exposures at machine speed.
• Hardened Defenses: Utilizing early access to frontier models from partners like OpenAI and Anthropic to simulate and block attack chains before they hit the mainstream.

The stakes are high. The attack cycle has compressed with the time from initial access to data exfiltration collapsing to just 39 seconds. Machine-speed MTTR (mean time to respond) is no longer an ambitious goal, it is a requirement.

This initiative underscores our commitment to providing every client with integrated, real-time protection.

Discover further details: Palo Alto Networks Frontier AI Defense.

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 Beyond the Frontier — Expanding the Ecosystem for Autonomous Defense appeared first on Palo Alto Networks Blog.

Key Takeaways

• Built on the Pioneers of PAM (privileged access management): Idira is Palo Alto Networks next-generation identity security platform, extending privileged access controls to every human, machine and AI agent identity in the AI enterprise.
• Zero Standing Privilege by Default: Idira replaces static, always-on access with dynamic privilege, granted just-in-time on a single control plane.
• AI-Driven Identity: AI runs natively inside Idira to surface hidden entitlements, unmanaged accounts, recommend least privilege, and remediate to close the gap between attackers who move in 72 minutes and defenders who historically took days.

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Since Palo Alto Networks and CyberArk came together in February, customers have been asking me the same question: What does the future of identity security actually look like?

At IMPACT, I got to answer that question.

I am proud to introduce Idira, the next-generation identity security platform from Palo Alto Networks. Idira secures every identity in the AI enterprise (human, machine, AI agent) on a single control plane that discovers risk, applies privilege dynamically, and governs the full lifecycle from first access to last session.

Idira begins with a belief shaped by more than 20 years of working on this problem. Privilege is the most challenging aspect of identity security. For a generation, the industry learned how to manage it well for a small population – administrators inside the most security-sensitive organizations in the world. That was necessary. But it is no longer enough.

The moment has come to extend that same rigor to every identity, because every identity today carries the power to move the business, or enable an attacker. That is the journey Idira takes us on. From privilege controls for administrators, to privilege controls for every identity.

Attackers Are Not Breaking In. They Are Logging In.

For most of the last two decades, identity security was built on a comfortable assumption: One can maintain a firm divide between a small number of powerful administrators and a much larger number of ordinary users; that is enough to secure the organization. That assumption no longer holds.

Our Chairman and CEO, Nikesh Arora, calls it the “IAM fallacy,” and the data in the 2026 Identity Security Landscape Report makes clear why it is time to retire this assumption.

Based on responses from 2,930 cybersecurity decision-makers worldwide:

• Machine identities now outnumber humans by 109 to 1. Of those, 79 are AI agents.
• 91% of organizations already run autonomous agents in production.
• 90% of organizations suffered an identity-related breach in the past 12 months. 83% of organizations suffered two or more incidents.

The old model is not failing because identity became less important. It is failing because identity and privilege became universal and ubiquitous.

Every major breach I have studied over the last two years follows the same pattern. An attacker steals a credential. They move laterally using standing access that should have expired. They escalate privilege. They reach the data, the infrastructure or the business systems they came for: Okta, MGM, Microsoft. Different industries. Different scales. The same pattern.

One overprivileged identity unlocks the entire enterprise.

And when defenders have a chance to respond, they are already behind and disadvantaged. 97% of practitioners tell us that fragmented tools add 12 hours to every identity incident response time. All while Unit 42^® has observed the fastest attackers move from a first foothold to exfiltration in as little as 72 minutes.

Identity is now the enterprise perimeter. And the perimeter was built for a threat model that no longer exists.

Every Identity Is Privileged — Idira’s First Fundamental Principle

The premise of Idira is simple. Every identity in your organization is privileged.

Every login, every token, every service account, every workload, every AI agent can trigger a workflow, call an API, or reach sensitive data. Some can create and destroy infrastructures, direct organizational spend, or create new identities. Privilege is no longer reserved for a small class of administrators. It is distributed across the enterprise, quietly and continuously, every second of the day.

The controls that protect privilege cannot be reserved for the few, either.

Idira changes three things from day one.

First, We Discover

Idira continuously finds every identity, every entitlement and every access path across your entire environment: humans, machines, workloads, secrets, certificates and AI agents everywhere – on the network, in the cloud, on servers and endpoints, in the browser. If someone or something can authenticate, Idira knows it is there, knows what it can reach, and evaluates how much of that access is actually necessary.

Second, We Control

Idira replaces static, always-on accounts attackers rely on with dynamic privileges that exist only in the moment of use. Zero standing privilege moves from aspiration to default, and it applies equally to the administrator logging into production, the developer deploying code, and the AI agent calling a tool. This is the shift to identity-centric active security.

Third, We Govern

Idira automates the identity lifecycle end-to-end. Governance stops being a quarterly compliance exercise and becomes a continuous enforcement loop. The 12-hour fragmentation tax closes.

This is what I mean when I say we are democratizing privilege controls. We are not loosening them. We are extending the strongest privilege controls the industry has ever built to every identity that now carries the weight of the business, without penalizing these identities for the powers they carry.

Already Better Together

Idira is not launching into an empty runway. We have been executing against this roadmap since the day we joined Palo Alto Networks, and the early results give us real confidence in what comes next.

Earlier this year at the RSA Conference, we launched Next-Generation Trust Security (NGTS), the first network-native platform to automate certificate lifecycle management and accelerate post-quantum readiness. That matters because 71% of organizations have not yet automated certificate renewal. As public TLS lifetimes compress to 47 days and manual workloads multiply, that gap becomes more than an operational burden. It becomes a business continuity risk.

NGTS closes it in the network itself.

As one of the core platforms of Palo Alto Networks along with Strata^® and Cortex^®, Idira is providing deep identity integrations across the entire portfolio to enhance platform value for customers. Prisma^® Browser delivers privileged access directly in the place where enterprise users work. Prisma AIRS 3.0 natively integrates with Idira to extend deep identity security and privilege controls to AI agents. Cortex will receive first-party identity signals to sharpen detection and take automatic identity- and privilege-driven response actions when indicators of compromise are detected.

Customers are already seeing the impact. Northern Trust improved password compliance by 137 percent. Panasonic Information Systems rebuilt its security operations around identity. Healthfirst grounded its zero trust program in identity-first controls. PDS Health secured clinical access for more than 900 practices. They had different problems with the same answer.

Different challenges. One answer. One platform. Consistent privilege controls applied to every identity that matters.

AI Makes This Urgent. AI Makes This Possible.

AI has changed the speed, scale and economics of identity risk.

Frontier models have crossed a threshold. Anthropic's Claude Mythos Preview has already identified thousands of zero-day vulnerabilities across the operating systems and browsers that businesses rely on every day. Every exposed secret, every standing admin path, every forgotten service account can now be discovered, validated and weaponized faster than most security teams can respond. 55% of the decision-makers in our 2026 survey named AI-enabled threats as their top identity concern.

Our answer is clear: We fight AI with AI.

If frontier models are rewriting the economics of attack, the only credible response is to rewrite the economics of defense with the same technology.

Idira is how we do that in identity. AI is built into the platform to surface hidden entitlements, identify risky access combinations, recommend the least privilege automatically, and drive surgical remediation. That same intelligence lets attackers find the weakest link in 72 minutes and helps defenders close it in seconds.

When code cannot be patched fast enough, identity becomes the control plane that can still adapt at machine speed.

Same Mission, Stronger Together

For more than two decades, the pioneers of privileged access have management-built controls trusted to safeguard the world's most critical environments. That mission created a category and earned the trust that made today possible.

Idira carries that mission forward and expands it to match the scale of the problem we now face.

This is the first wave, not the last. The roadmap extends privilege controls to workforce identity, advances machine and agentic identity security, and unifies a fragmented market into one platform. We are building it in the open, shaped by the customers in the room with us at IMPACT and by the realities they face every day.

The future of identity security will not be defined by access alone. It will be defined by control. See what Idira is built to deliver.

Forward-Looking Statements

This blog contains forward-looking statements that involve risks, uncertainties and assumptions, including, without limitation, statements regarding the benefits, impact, or performance or potential benefits, impact or performance of our products and technologies or future products and technologies. Any unreleased services, integrations 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 Idira — Our Journey to Democratize Privilege Controls appeared first on Palo Alto Networks Blog.

For the last several months, we have had early, unbounded access to the latest frontier AI models. What we’ve seen from that vantage point has made it clear that the window for organizations to get ahead of what’s coming is shorter than most leaders realize.

We have moved past the era of incremental AI improvements into a threat landscape shift. Our testing has revealed a step-change in capability that demonstrates an intuitive understanding of software vulnerabilities. This is more than faster code generation, it is a shift from AI as an assistant to AI as an autonomous agent capable of discovering and chaining flaws at a scale that most defenders aren’t prepared for.

These capabilities will not stay confined to controlled environments for long. When Mythos first launched, we predicted a six-month window before attackers gained access. We now believe that timeline has accelerated significantly.

To meet this inflection point, defense must operate at the speed of the adversary. That is why Palo Alto Networks has introduced Frontier AI Defense. This initiative unites our AI-native security platforms with Unit 42^® consulting and threat expertise with strategic partners to deliver continuous protection, prioritized risk mitigation and autonomous remediation.

What the Threat Looks Like Now

The latest frontier models, including OpenAI’s GPT-5.5-Cyber, Anthropic’s Mythos and Claude Opus 4.7, and the specialized variants emerging across major labs, represent roughly a 50% improvement in coding efficiency over their predecessors. That number sounds incremental, but in practice, it’s the threshold at which AI crosses from a helpful assistant into an autonomous operator.

Based on our testing and review, we found four key developments that, taken together, redefine the modern threat landscape:

• Vulnerability Discovery at Scale: Frontier AI is exceptionally effective at identifying vulnerabilities across massive, complex codebases. In our testing, three weeks of model-assisted analysis matched a full year of manual penetration testing, with broader coverage.
• Exploit Chaining & Synthesis: What is more consequential than individual discovery is the models’ ability to think like an attacker. They link multiple lower-severity issues into single, critical exploit paths, seeing full-stack logic, including SaaS and public-facing surfaces, in ways traditional scanners cannot.
• Attack Cycle Compression: In AI-assisted scenarios, the time from initial access to exfiltration has collapsed to as little as 25 minutes. Detection and response measured in hours is no longer a viable standard; single-digit MTTR (Mean Time to Respond) is the new floor.
• The Unsupervised Attack Surface: Rapid AI development and decentralized innovation are creating a massive, unsupervised attack surface in real-time. As local AI agents become commonplace, every desktop is now effectively a server, yet most organizations lack visibility into the code their own employees are generating and deploying.

Our Approach

These emerging threats form the foundation of how we have architected our platform response for the agentic era – Frontier AI Defense. Our approach moves beyond traditional, reactive defense to provide a comprehensive framework built to outpace frontier-AI-enabled attackers. This initiative is defined by:

• Advanced Access: We leverage early access to frontier AI models to harden defenses and simulate attacks before they reach the mainstream.
• Intelligence-Led Resilience: Unit 42 experts leverage frontier AI to fast-track discovery and remediation of exposures at machine speed through our Unit 42 Frontier AI Defense service.
• Unified Global Ecosystem: We provide the scale required for global protection through our Frontier AI Alliance of elite partners, including Accenture, Armadin, Deloitte, IBM, NTT DATA, and PwC.
• Machine Speed Security: By natively integrating Frontier AI across our platforms, we deliver the automated, real-time defense necessary to counter autonomous threats.

The Window Is Open. It Won’t Be for Long.

The capabilities we tested under early-access conditions are expected to become widely available over the next several months. Success in this new environment requires adapting your cybersecurity stack before these tools are in the hands of every adversary.

The threat has never been more sophisticated. The window to prepare for this shift is closing. And we're here to help secure your future at the edge of the frontier.

Visit Palo Alto Networks Frontier AI Defense to learn more.

The post A New Era of Security: Frontier AI Defense appeared first on Palo Alto Networks Blog.

Modern phishing campaigns are no longer trying to convince users. They are trying to outrun them. By forcing an automatic progression from click to download, attackers eliminate the moment of hesitation entirely by forcing files to download instantly using trusted cloud platforms like Dropbox and Google Drive.

Detecting when these legitimate SaaS auto-download features are being weaponized is an immense challenge for traditional defenses. This is exactly where Cortex^® Email Security steps in. By combining deep static analysis with advanced behavioral intelligence, the module can distinguish in this attack between a benign file share and a malicious, forced-momentum trigger.

This technical detection is vital because while the autodownload method is the primary cause of infection, its effectiveness relies on a clever strategy, using a wide range of changing social engineering lures. By alternating between lures like 'Invoices' or 'Quotes,' attackers rotate their themes to catch a wider variety of victims. This strategy allows attackers to convert trusted email links into rapid, dangerous file executions that effectively evade standard security measures.

How Forced Momentum Drives Auto-Downloads

The core of this attack leverages the infrastructure of real SaaS providers to eliminate the user's preview buffer. Typically, cloud sharing directs users to a webpage for file examination. In this campaign, however, forced-download parameters (such as ?dl=1 on Dropbox) are used instead. To ensure the victim executes the file once it lands on their machine, attackers hide the danger behind "visual anchors." By using double extensions like PDF and .EXE, the threat actor exploits default settings in certain operating systems that hide known extensions. The user's eyes stop at the familiar ".PDF" or ".ZIP," leading them to believe the file is a harmless document rather than a malicious executable.

When the targeted victim clicks the link in the email, it triggers an immediate file download in the browser, effectively bypassing any intermediary steps.

Attack Flow: From Email to Execution

• The Bait: A highly personalized email arrives, using a trusted cloud link (like Dropbox) to lower the victim's guard.
• The Trap: Clicking the link skips the usual "preview" screen and instantly drops a file onto the victim's computer.
• The Disguise: The file is cleverly named to look like a safe PDF or document, hiding its true identity as a harmful program.
• The Lock: In many cases, the attacker ensures only the intended victim can open the file, preventing security tools from scanning it first.
• The Takeover: Once the victim opens the file, the attacker gains remote access to the system.

The Library of Lures Strategy

To fuel the autodownload machine, attackers employ a flexible strategy by switching between various social engineering themes. This spear phishing campaign targets specific inboxes, such as "Orders," to exploit professional routines. Some common lures found in this campaign include:

• Financial Urgency – Fake "Invoices" or "Receipts" that induce anxiety. These often set close-day payment deadlines, pressuring recipients to click quickly.
• Business Operations – "Quote Requests" or "Purchase Orders" that exploit professional habits.
• Deceptive Naming – Concealing the download as a safe document, using display text like "invoice.pdf" in the email body to hide the underlying Dropbox URL.

Government Domain Impersonation

Attackers often leverage high-authority lures designed to paralyze a user's critical thinking. In one sophisticated wave, we observed threats impersonating a government entity by exploiting the high-reputation, official government domain. By borrowing the reputational authority associated with official infrastructure, the attacker successfully maneuvered an "Unidentified Payment Notice" past standard "Untrusted Sender" filters. To the recipient, the email carries the weight of a sanctioned document. Fearing legal or financial ramifications, they feel a heightened sense of urgency to click "View Invoice" to resolve the issue immediately.

Employee Impersonation

When government authority isn’t the angle, attackers shift to impersonating internal staff. In one case, the sender’s display name was spoofed to match a real employee in the target organization. Attackers rely on a “Momentum of Trust” tied to familiar names to overwhelm user judgment. Even when a generic Gmail address is used, users, especially those on mobile devices, rarely pause to check the underlying headers.

Internal Trust Amplification ("Human Relay")

The most effective aspect of this campaign occurs through Internal Laundering, where the threat shifts from external suspicion to a trusted internal message. This was observed when a Finance Department employee received a "Quote Analysis" file and, believing it to be a valid inquiry, mistakenly forwarded the link to the Procurement department.

At that stage, the attack no longer depended on deception, it propagated through trusted human workflows. These various tactics illustrate the sophistication and adaptability of phishing campaigns and highlight the importance of vigilance in email security.

How We Uncovered a Single Threat Actor

Although the lures appeared diverse, a deeper technical analysis revealed that they were all orchestrated by a single, coordinated threat actor.

By mapping the campaign, we uncovered a significant pattern: Each autodownload link pointed to a different file hash to evade signature detection, but all unique executables were ultimately associated with the same parent installer hash.

The file was identified as a specific Remote Monitoring and Management (RMM) executable, an administrative software used to manage computers remotely. Because RMM tools are legitimate, they often trigger fewer alerts than traditional Trojans. This allows the attacker to maintain persistent access under the guise of “authorized” system activity.

How Cortex Email Security Addresses the Threat

To defend against a campaign that emphasizes speed and rotation, behavioral analysis is essential.

The Cortex^® Email Security Module addresses this threat:

• Advanced URL Analysis – Detection of forced-download parameters, combined with delivery of high-risk files via URLs.
• Deep Metadata Correlation – Correlating sender identity with behavioral anomalies to flag threats that traditional scanners might overlook.
• LLM-Based Intent Analysis – Classifying phishing themes (invoice, payment, quote) despite variation.

The security engine triggers an alert by synthesizing LLM analysis with real-time email telemetry, global threat intelligence and behavioral signals.

Securing the Click

The combination of autodownload links and rotating lures is crafted to exploit user momentum and the "psychology of trust."

This campaign represents a shift from deception to acceleration. Attackers no longer need perfect lures, they only need to remove friction. Defenders must evolve accordingly, focusing not only on what a link is, but on what it forces a user to do.

Palo Alto Networks Cortex Advanced Email Security was built for this evolution. By moving beyond static file analysis to identify the behavioral "red flags" of autodownloads and forced-momentum URLs, we provide the visibility needed to stop these attacks before they reach the device.

The module examines email metadata, content, and behavior to uncover hidden malicious intent and sophisticated impersonation, including AI-crafted threats. By assigning precise risk scores to every detection, the system filters out the noise, allowing analysts to move past alert fatigue and focus on the most critical threats first.

Indicators of compromise discovered during this research are detailed on Unit 42’s GitHib instance.

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FAQs

1. Why is the "Auto-Download" parameter so effective? It removes the "moment of doubt." By bypassing the preview page, the attacker forces the file onto the computer instantly, prompting the user to "Open" it out of habit.
2. How does the use of rotating lures benefit the attacker? It maximizes both psychological and technical success. People have different "blind spots" (e.g., finance professionals are likely to click on invoices), and variety increases the chances of finding a template that can bypass specific customers' security filters.
3. Why might a sandbox fail to catch the malicious file? Because the link was "Identity-Bound." To the scanner, the link appeared to lead to a harmless error page (cloaking), resulting in a false negative.

Cloaking involves showing different content to security scanners than what is presented to the victim. By using Identity-Bound access, the file only reveals itself to the intended target.

The post The Dangerous Momentum of Autodownload Phishing appeared first on Palo Alto Networks Blog.

A new generation of frontier AI models is fundamentally changing how cyber attacks are created and executed, introducing a level of speed, scale, and accessibility the industry has not faced before. Early testing of advanced models, including Claude’s Mythos model, shows that they can identify vulnerabilities in code, connect them into viable attack paths, and generate working exploits with minimal effort. What once required deep expertise and significant time can now be executed rapidly, and at scale, across a wide range of environments. These are not simply AI-assisted attacks, they are attacks powered by frontier AI models. The new models […]

The post AI Threat Readiness: Defending Against Attacks Powered by Frontier AI Models appeared first on Check Point Blog.

Frontier AI is changing what is possible for attackers. To meet this escalating threat, Palo Alto Networks is teaming up with Armadin, the new offensive security company founded by Kevin Mandia. This partnership expands our newly introduced Unit 42 Frontier AI Defense service, scaling our ability to identify and remediate AI-driven exposures, and accelerating protection across the enterprise.

Over the past few weeks, we’ve spoken with hundreds of CISOs who universally feel the urgency on the frontlines. Security leaders need to know exactly where they stand against the AI-driven attacks happening right now, and the ones coming in the next six months.

Expanding Frontier AI Defense — The External AI Hyperattack Assessment

For organizations seeking to actively pressure-test their perimeter, this partnership introduces an autonomous, AI-driven offensive assessment of your external attack surface.

This added layer identifies real attack paths and proves exploitability across internet-facing assets. The platform begins with passive discovery, validating publicly exposed assets, cloud resources and secrets. Next, Armadin deploys a coordinated swarm of autonomous AI attack agents, operating at machine speed across your external footprint.

These agents execute active reconnaissance, launch attacks and exploit vulnerabilities in parallel, using over 50,000 templates. Upon initial access, the swarm simulates post-exploitation behavior to demonstrate impact, logging every attack chain as decision-grade evidence of exploitable risk.

Decision-Grade Proof of Exploitable Risk

With this added layer of autonomous simulation, Unit 42 Frontier AI Defense provides an even more rigorous, pressure-tested view of an organization's external attack surface. This allows our experts to accurately simulate the tradecraft of the most capable, AI-equipped threat actors, compressing complex attack lifecycles from days into minutes.

AI may change what is possible for attackers, but in the hands of defenders, it becomes a decisive advantage. This partnership is another important step in making sure that advantage stays with the defenders.

A member of Project Glasswing and OpenAI’s Trusted Access for Cyber (TAC) program, Palo Alto Networks remains the only company equipped to deliver this strategic level of partnership through Unit 42 Frontier AI Defense and the Frontier AI Alliance, driven to integrate cutting-edge technologies into our products and services.

Get started with Unit 42 Frontier AI Defense today.

The post Unit 42 Expands Frontier AI Defense with Armadin Partnership appeared first on Palo Alto Networks Blog.

Expand Strategic Collaboration to Secure the AI Enterprise

The transition from generative AI to agentic AI represents one of the most significant shifts in the history of enterprise technology. As organizations move from simple chatbots to autonomous agents that can execute business processes, the attack surface isn't just changing, it's exploding.

At Google Cloud Next 2026 in Las Vegas, Palo Alto Networks is proud to announce a series of groundbreaking integrations with Google Cloud. These innovations are designed to do more than just monitor the new AI-driven landscape; they are built to secure it by design. AI deployment is currently outpacing AI governance. By embedding our security platform into Google Cloud’s infrastructure, we are giving today’s enterprises the foundation to become the autonomous organizations of tomorrow.

Here is a look at the four major milestones of our partnership being unveiled this week.

Secure AI Agents with Google Cloud + Prisma AIRS

As autonomous AI agents become the new enterprise standard, security can no longer be an afterthought; it must be architectural. By integrating Prisma AIRS™ natively with Google Cloud Gemini Enterprise Agent Platform, we provide the proactive defenses required to govern complex agentic workflows. This integration ensures that as you scale your autonomous workforce, your security scales with it, providing comprehensive operational integrity without hindering the speed of innovation.

We are delivering capabilities across three critical pillars:

• Protecting Agent-Specific Runtime Risks: In an agentic ecosystem, the primary risk is unauthorized or a destructive action taken by the AI agents themselves. Prisma AIRS secures the "agent-to-tool" interface, preventing poisoned context from triggering malicious scripts or destructive actions. The solution monitors agent execution in real-time, so agents cannot leak sensitive credentials or tool schemas, maintaining the boundary between agents and their access to enterprise data.
• Securing the GenAI Application Surface: Modern AI applications and agents require a secure-by-design approach. Prisma AIRS AI Runtime Security™ provides prevention of more than 30 adversarial prompt injection and jailbreak techniques, as well as malicious code and URLs within LLM outputs. Prisma AIRS utilizes over 1,000 predefined patterns out of the box and ML-powered Enterprise DLP to stop sensitive data leakage.
• Enforcing Enterprise AI Safety and Grounding: Trust in AI is built on the consistency and safety of its output. Prisma AIRS allows organizations to define safety policies in natural language and filter toxic content across eight distinct categories to protect brand reputation. Using contextual grounding, Prisma AIRS can prevent misleading outputs that contradict internal RAG data, keeping agents tied to real facts.

This integration ensures that as you scale your autonomous workforce, your security posture scales with it, providing operational integrity without hindering the speed of innovation.

Security-as-Code for Prisma AIRS Integration with Application Design Center (ADC)

The traditional bolt-on approach to security is no longer viable in a cloud-first world. Google Cloud’s Application Design Center (ADC) is revolutionizing how applications are built, using an intuitive canvas and natural language via Gemini Code Assist.

Palo Alto Networks is announcing that it will be published as a template within the Application Design Center, providing more capabilities to engineering teams:

• Drag-and-Drop Security – Visually "snap" VM-Series firewalls and Prisma AIRS AI protections directly into network flows.
• AI-Driven Architecture – Use natural language prompts to generate secure-by-default, multiregion architectures.
• Simultaneous Deployment – Deploy entire application stacks and security services in a single, unified workflow, ensuring protection is present from the very first minute of deployment.

Zero-Day Protection at Scale with Advanced Malware Sandboxing for Google Cloud NGFW Enterprise

The battle against malware has shifted to the cloud. Modern attacks are faster, more evasive and capable of bypassing traditional defenses.

That is why we are excited to announce Advanced WildFire^®, powered by Palo Alto Networks, natively integrated into Google Cloud NGFW Enterprise, delivering AI-driven malware prevention directly within Google Cloud environments.

This integration embeds inline sandboxing and real-time threat intelligence directly into Google Cloud’s distributed firewall to stop advanced and unknown threats before they impact workloads, enabling:

• Secure Detonation – Suspicious files are safely executed in a controlled sandbox environment to uncover hidden and unknown threats.
• Inline Traffic Inspection – Inbound and outbound traffic is analyzed in real time to prevent lateral movement of malicious payloads across cloud environments.
• AI-Driven Threat Prevention – Leverages global threat intelligence by Palo Alto Networks to block zero-day threats before they compromise workloads.

With Advanced WildFire embedded directly into Google Cloud NGFW Enterprise, organizations can extend consistent protection across their cloud infrastructure while maintaining operational simplicity.

Cloud NGFW Enterprise Advanced Malware Sandboxing will be available in Public Preview soon.

Defining the Future with the Google Cloud Marketplace

Palo Alto Networks has joined the Google Cloud Marketplace Agent-as-a-Service as a launch partner to introduce the Prisma AIRS Model Security agent. Operating as an Agent-as-a-Service, this solution scans AI models for vulnerabilities and policy noncompliance before they reach production.

Available in the Agent Gallery inside Gemini Enterprise, this marketplace offering runs entirely within the customer’s own Google Cloud environment, providing both new and existing Prisma AIRS users a seamless and simple deployment experience inside Gemini Enterprise.

Securing AI Innovation at Scale

The collaboration between Palo Alto Networks and Google Cloud is built on a shared vision: Security should be an accelerator for innovation, not a bottleneck. As we look toward the future of the AI-powered enterprise, our commitment remains to provide the most robust, platform-driven security for every workload, every agent and every interaction.

Want to see these integrations in action? Contact your Palo Alto Networks representative to learn more about how we are securing the future of the cloud together. If you’re attending Google Cloud Next 2026, join us at these sponsored sessions:

• Wednesday, April 22 @ 12:30 PM - 1:15 PM
  The AI-Ready Enterprise: Securing Access and Data in an AI-first World
• Thursday, April 23 @ 9:15 AM - 10:00 AM
  Securing and managing Agentic AI at scale: What Google and Palo Alto Networks are building together
  Munish Khetrapal, vice president of Cloud Engagement, GCP - Palo Alto Networks
  Mike Buratowski, deputy chief information security officer - The Home Depot
  
• Thursday, April 23 @ 9:15 AM - 10:00 AM
  The agentic era: Governing an invisible AI workforce
• Thursday, April 23 @ 12:00 PM - 12:45 PM
  The AI Attack Surface: Strategizing Defense for the modern AI-Powered Enterprise

The post Palo Alto Networks and Google Cloud appeared first on Palo Alto Networks Blog.

The Google Cloud and Palo Alto Networks Partnership

As AI agents move into business-critical environments, they are transforming everything from security operations to internal workflows. However, scaling these AI applications introduces unprecedented hurdles for security executives, from detecting "shadow AI" and unsanctioned usage to governing complex nonhuman identities across multimodel environments.

To overcome these challenges, organizations need more than just tools; they need a layered architecture built on a foundation of platformization. The long-standing partnership between Palo Alto Networks and Google Cloud provides this essential framework, offering customers:

• Integrated Security Ecosystems: Seamlessly manage the full agent lifecycle with visibility and observability across your entire AI infrastructure.
• Jointly Engineered Solutions: Leverage over 80 co-engineered integrations designed to eliminate the tradeoff between a cloud-native experience and best-in-class security.
• Proven Scale and Performance: Benefit from a partnership that has already delivered impactful, AI-driven solutions to protect joint customers from evolving threats.

Google Cloud Marketplace enables customers to discover, try, buy and use industry-leading applications that have been validated to run on Google Cloud. Palo Alto Networks has closed $2.4 billion in GCP bookings, helping address evolving customer needs, such as simplified procurement and seamless deployment.

Kevin Ichhpurani, President, Global Partner Ecosystem at Google Cloud:

We’re pleased to celebrate Palo Alto Networks as our Global Technology Partner of the Year… Palo Alto Networks has consistently delivered impactful, AI-driven security solutions that help Google Cloud customers better protect their organizations from evolving threats.

The extensive, long-standing collaboration between Palo Alto Networks and Google Cloud includes jointly engineered offerings, built on 80 solution integrations that help customers build, run and secure AI-enhanced cloud infrastructure and applications with end-to-end protection.

Palo Alto Networks Wins 2026 Global Technology Google Cloud Partner of the Year Award

At Google Cloud Next, Palo Alto Networks has been recognized with four 2026 Google Cloud Partner of the Year awards. By partnering with Google Cloud, we help customers securely leverage the power of the cloud and AI-driven growth with comprehensive cloud-native security offerings. Wins included the following:

• Global Technology
• Marketplace: Technology
• Marketplace: Security
• Security: Artificial Intelligence

These Partner of the Year Awards underscore our expanding partnership with Google Cloud. We share a mutual dedication to improve cloud, network security and AI observability, as well as the progress we’ve made in protecting our joint customers from today’s and tomorrow’s cyberthreats.

By combining our industry-leading security engineering with Google Cloud’s industry-leading cloud infrastructure and services, we’re providing advanced protection for every stage of a customer’s digital journey. We want customers to feel secure from the formative steps of lifting workloads into the cloud, to expanding digital innovation across platforms, to reaching new levels of business scale and velocity.

Protecting these journeys requires alignment and modernization of infrastructure (lift and shift), applications (refactoring) and user access models (zero trust). It requires an advanced AI drive security operations transformation across all IT domains, leveraging machine learning and sophisticated models to minimize human interventions and unguarded sides.

Our relationship with Google Cloud is based on a deep engineering relationship, yielding integrated solutions that help customers achieve better digital outcomes. Our partnership can help your organization eliminate tradeoffs between a cloud-native experience and best-in-class security. We have more than 80 co-engineered integrations, helping to improve and protect hybrid workers, cloud migrations and application modernization efforts.

We remain committed to our goals of outpacing cyberthreats, helping customers at every stage of their cloud journey, and creating a world where tomorrow is more secure than today.

Whether you’re just beginning your cloud journey or managing complex transformational projects, our jointly engineered, AI-driven solutions are designed to deliver seamless, scalable security. Explore the dynamic partnership between Palo Alto Networks and Google Cloud. Join us at Google Cloud Next '26 in Las Vegas from April 22-24 to discover how to secure your development lifecycle from code to cloud.

The post Scaling AI Agents with Confidence appeared first on Palo Alto Networks Blog.

The release of the newest frontier AI models marks a turning point for cybersecurity. Palo Alto Networks has conducted early testing of the latest frontier AI models, including Anthropic’s Mythos model as part of Project Glasswing and OpenAI’s latest models as part of Trusted Access for Cyber program. The conclusion is clear: They are extraordinarily capable at finding vulnerabilities and generating corresponding exploits.

This generational improvement in coding ability directly translates to a significant advance in vulnerability discovery and exploit generation. These capabilities, however guardrailed, will not stay contained. Similar advances will appear across other major AI labs, Chinese models, and open source models. Attackers will find the seams in those guardrails. They will use advanced AI to discover zero-day vulnerabilities at scale, generate exploits in near real time, and develop autonomous attack agents unlike anything the industry has faced.

Within six months, advanced AI models with deep cybersecurity capabilities will become commonplace. Organizations that have not put appropriate safeguards in place will face an entirely new class of risk across their enterprise and critical infrastructure.

Frontier AI: A Quantum Leap in Code Fluency

As you have probably already seen, the latest unbounded models like Mythos represent roughly a 50% improvement in coding efficiency over Anthropic’s previous leading model. Palo Alto Networks has had early access to unbounded models and we’ve been able to leverage this vast improvement in coding to a quantum leap in scanning and offensive capability.

Hundreds of our best security engineers have been assessing these capabilities and developing best practices for using it effectively. The results revealed several core truths:

• Vulnerability discovery at scale: Frontier AI is exceptionally effective at identifying vulnerabilities in code. In less than three weeks, it accomplished the equivalent of a full year’s worth of penetration testing effort.
• Attack path determination: Perhaps more impressive than finding individual vulnerabilities, Frontier AI excels at vulnerability chaining, combining multiple lower-severity issues into critical-level exploit paths. For example, linking two medium-severity and one low-severity vulnerability into a single critical exploit.
• Full-stack logic analysis: Frontier AI can analyze the full exposure surface of applications, including SaaS and public-facing platforms, identifying logic-based vulnerabilities that traditional tools miss.

Impacts on the Cyber Landscape

Attackers have been using LLMs for years, but based on our testing of frontier AI models, there are three key areas where they will have a significant impact on the cybersecurity landscape:

1. The Vulnerability Deluge: Frontier AI models will dramatically accelerate the rate at which vulnerabilities are discovered, by defenders and attackers alike. This will be particularly acute in open source and critically, the flood of patches that follows will itself create risk. Every patch that is not applied immediately becomes a known, targetable vulnerability. Organizations will need to accelerate and automate their patching programs, rethink how they prioritize and apply patches, and ensure best-in-class protections are in place to mitigate vulnerability until they can be remediated.
2. Rise of Inside-Out Attacks: Recent supply chain attacks on tools like LiteLLM and Trivy demonstrate a growing pattern where attacks land adversaries inside an organization’s infrastructure, bypassing multiple conventional attack steps and reducing the number of prevention opportunities available to defenders. The rapid deployment of AI infrastructure has made this problem more acute as the AI supply chain, including runtime environments, communication infrastructure, and model dependencies, is often insufficiently protected. While open source usage and patching practices must become significantly more robust, organizations will need structural containment of potential attacks through zero trust, identity modernization, outbound connection restrictions and lateral movement protections.
3. Faster AI-Assisted Attack Cycles: I expect the most consequential shift with frontier AI models is the move from AI-assisted to AI-driven attacks. Attackers will build autonomous attack agents that dramatically compress attack cycle times. What once took days or weeks of skilled manual effort will soon be executed in minutes. This democratization of advanced attack capabilities means that defenders must match that speed with near-real-time detection and response, which is only possible with extensive AI and automation throughout security operations. Organizations whose Mean Time to Detection and Mean Time to Response are not measured in low single-digit minutes will be outpaced.

The Defenders Guide: Assessment, Protection, Platformization

The framework for defending against AI-driven threats is not completely new, but the standard for execution must be absolute. Organizations that are “mostly protected” are effectively unprotected. What follows is a phased approach – assessment, protection and platformization – that organizations should pursue in parallel to close gaps before attackers exploit them.

Assessment: Every organization should use the latest AI models to assess its entire code and application landscape and build a comprehensive asset and exposure inventory.

Key priorities:

• Leverage AI models to identify vulnerabilities across your codebase, applications and infrastructure before attackers do.
• Evaluate exposure with full context, including how vulnerabilities chain together to form critical exploit paths.
• Audit your open source supply chain, including AI infrastructure, runtime environments and model dependencies.
• Map your current sensor coverage. Detection, prevention and telemetry gaps represent critical blind spots.

Protect & Remediation: Remediating and reducing exposure is table-stakes. What in the past may have been difficult due to cross-organizational friction of finding and fixing at pace should now be accelerated with the c-suite attention of these new AI models. But this must go further and extend to comprehensive deployment of best-in-class attack prevention capabilities where the new standard is 100% coverage and optimization.

• XDR everywhere, with emphasis on real-time ML-based detection and prevention of attacks; all hosts on prem and cloud included.
• Agentic endpoint security to secure wide-scale adoption of vibe coding and AI security across the enterprise (e.g. Prisma AIRS and our recent acquisition of Koi is now a necessity for securing the agentic endpoint).
• With an average of 85% of work now happening in the browser, secure enterprise browsers with real-time security become a must-have for attack prevention.
• Zero trust and identity security are foundational to securing every user and every connection.

Real-Time Security Operations: With attack cycle times shrinking rapidly, the legacy approach to security operations simply doesn’t work. Disparate tools analyzing data in silos overlaid with manual processes must be replaced with AI and automation throughout. Cortex XSIAM, our AI-driven SOC platform, is what I consider to be the gold standard for how to take a next-generation approach to deliver MTTD and MTTR in single digit minutes.

• Attack detections must be AI/ML driven to detect even frequently-changing and novel attacks at scale.
• These AI detections must operate against a wide range of 1st party and 3rd party data sources – a best in class AI SOC must operate on ALL relevant data sources.
• Automation both natively integrated and throughout the SOC lifecycle is necessary to achieve single digit MTTR; this automation will increasingly be agentic.
• This must be delivered as a platform to remove the seams and gaps between point solutions.

We’re Here to Help

Achieving this level of resilience requires the right platforms and the right expertise.

To help you navigate this shift, we are introducing Unit 42 Frontier AI Defense. This new offering is designed to discover and remediate your current exposure before attackers do, strengthen controls that reduce exposure and contain impact and modernize operations so teams can detect and respond at machine speed.

This is the moment we’ve been preparing for. The threat has never been more sophisticated, but the path forward has never been clearer, and we’re here to partner with you on what comes next.

The post Defender's Guide to the Frontier AI Impact on Cybersecurity appeared first on Palo Alto Networks Blog.

Frontier AI models have given the security industry a preview of what comes next. As they become weaponized, attackers will automate the discovery and chaining of vulnerabilities in near real-time – compressing timelines, increasing scale and outpacing human-led defense.

Until now, defenders have had time to detect activity, investigate signals and contain threats before exposures were chained into full attacks. AI is quickly closing this window.

Defending against AI-driven threats means engineering a resilient architecture that limits how easily attackers can exploit discovered weaknesses, that contains the blast radius when they do, and enables faster response at scale. It also means using AI to accelerate the security program itself, from vulnerability discovery and code review to triage, remediation and incident response.

The transition should cover three areas. First, discover and remediate your current exposure before attackers do. Second, strengthen controls that reduce exposure and contain impact. Third, modernize operations so teams can detect and respond in real-time.

To help organizations make this shift, Palo Alto Networks is launching Unit 42^® Frontier AI Defense.

Powered by the latest AI models, Unit 42 Frontier AI Defense helps organizations answer a critical question: Are your defenses ready for AI-powered attacks?

Unit 42 Frontier AI Defense combines three core components delivered by expert consultants, coupled with 6 months of complimentary access to Cortex^® XDR, Cortex Xpanse^® and Koi Agentic Security.

Frontier AI Exposure Analysis: Identify and validate the exposures most likely to be chained into real attacks before attackers weaponize them.

Actions

• • Use the latest frontier models, Unit 42 offensive security expertise, threat telemetry and Unit 42 Threat Intelligence to assess your environment.
  • Identify the vulnerabilities, misconfigurations and posture gaps most likely to be exploited across infrastructure, applications, code, identity and cloud.
  • Validate the attack paths most likely to matter in real-world attacks.

Outputs

• • A prioritized view of vulnerabilities and attack paths that matter most
  • Clear actions to fix the exposures that matter first

Autonomous Security Blueprint: Benchmark current capabilities and define the changes required for machine-speed defense.

Actions

• • Assess current-state capabilities across attack surface, identity, software supply chain, zero trust containment, as well as real-time detection and response.
  • Identify where AI-powered threats create the greatest exposure and where current controls are most likely to fail.
  • Define the technical and operational changes required to close those gaps.

Outputs

• • A clear blueprint for immediate action
  • A prioritized roadmap to reduce exposure, strengthen containment and modernize security for the AI era

Agentic Defense Transformation: Implement the prioritized architecture, control and operating changes needed to modernize defenses for AI-driven threats.

Actions

• • Implement the architectural, operational and control changes required to defend against AI-driven threats.
  • Modernize exposure management, harden the software supply chain, and advance zero trust architecture.
  • Build response capabilities that can keep pace with autonomous attacks.

Outputs

• • Accelerated implementation of the changes that matter most
  • A more modern security architecture, built to reduce exposure and improve containment

The Window Is Still Open, for Now

AI is the biggest security inflection point since enterprises moved to the cloud. Organizations that act now will be the ones that are ready. Those that wait will be forced to respond under maximum pressure on the worst possible day.

Frontier AI is changing what is possible for attackers. In the hands of defenders, it can become a decisive advantage.

Human-speed security is no longer enough. A modern security approach is required. Get started with Unit 42 Frontier AI Defense today.

*The complimentary offer is not available to public sector customers or current Cortex XDR, Cortex Xpanse or Koi customers.

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

Our Commitment to Data Autonomy and National Resilience

The United Kingdom has established itself as a leading global cyber power. Over the last decade, Palo Alto Networks has been proud to work alongside British institutions to protect the digital borders of a highly innovative economy. As UK organisations navigate an evolving threat landscape and adopt transformative technologies, like AI, the need for security partners who understand British operational realities has never been greater.

The Path to Digital Autonomy, Resilience and Control

Organisations today require more than a technology provider. They need a partner that understands the specific legal frameworks and strategic priorities of the British landscape. We are reaffirming our deep commitment to the UK, safeguarding British data as a core part of national resilience, even as both technology and cyber adversaries evolve.

The targeting of UK infrastructure is a daily operational reality. According to our Unit 42 2026 Global Incident Response Report, attackers are moving at unprecedented speed, with exfiltration speeds for the fastest attacks quadrupling in 2025. Identity weaknesses played a material role in almost 90% of Unit 42® investigations, as attackers increasingly exploit stolen credentials and fragmented identity systems to escalate privileges and move laterally. These threats span across all sectors, from NHS patient data to local government systems and energy networks.

UK organisations need partners who understand their unique requirements. While our broader European commitments provide a strong foundation, we recognise that the UK requires a dedicated focus across data protection, critical infrastructure security and public-private collaboration. This includes a deep-rooted local presence, aligning our operations with national standards of protection to support British ingenuity and ambition.

Control Over Your Data

Genuine data control requires two things: understanding exactly how and under which laws your information is handled and having the technical capabilities to enforce that control.

For UK customers, we provide the capability to host data within UK-based infrastructure, ensuring that critical data can be stored in regions that align with UK data protection requirements. Additionally, for applicable products and services, we offer Bring Your Own Encryption Keys (BYOK) capabilities, giving you direct control over the encryption protecting your data.

Our agreements are built to comply with UK GDPR requirements and include the necessary protections for any cross-border data transfers. But beyond contractual obligations, we operate on a fundamental principle: Your data serves only the purpose for which you’ve engaged us.

How we handle different data categories:

1. Customer and Personal Data Are Processed Only to Serve You

We process your Customer Data and Personal Data exclusively to deliver the services you have purchased. This includes the content of your communications and files uploaded for support. The purpose is singular: delivering the security and protection you’ve contracted us to provide.

2. Systems Data Is Used to Enhance Functionality and Collective Defence

To provide effective security, our products generate Systems Data, which includes technical logs, performance metrics and threat indicators. This information serves three main purposes: ensuring the day-to-day functionality of your services, enabling our teams to provide expert technical support and troubleshooting, and powering our global threat research capabilities.

When a new threat is detected against a specific UK sector, our entire network receives updated protection within minutes. This allows British organisations to benefit from global threat intelligence. We handle Systems Data in ways that preserve your operational privacy, ensuring the intelligence value comes from understanding threat patterns, not identifying individual organisations.

For detailed technical information on how we categorise and handle data, see our Customer Data, Personal Data and Systems Data whitepapers.

Transparency in Practice

We publish a biannual Transparency Report detailing all government and law enforcement data requests we receive. This isn’t simply about compliance. It’s about providing UK organisations with verifiable evidence of how we handle requests, enabling informed risk assessment and governance oversight. For more information, please visit the Privacy Section in our Trust Center.

Securing Critical National Infrastructure

The UK’s 13 sectors of Critical National Infrastructure represent the backbone of society. These sectors require security solutions built with an understanding of their unique threat models, from the specific requirements of an NHS trust to the challenges facing an energy provider.

We currently serve hundreds of UK public sector organisations across government, health and critical infrastructure sectors, which include the UK Government, UK Home Office and the Ministry of Justice.

Operational Resilience

For the UK’s most critical services, operational resilience is paramount. Our security platforms are designed for high availability and reliability, helping organisations maintain continuous protection even during disruptions.

Trust and Transparency

Palo Alto Networks is deeply integrated into the UK’s security ecosystem, ensuring our solutions exceed national benchmarks for resilience and transparency.

We hold Cyber Essentials Plus certification and align with the NCSC Cloud Security Principles, providing assurance to customers that we adhere to the highest security protocols to protect their most critical assets. As a Software Security Ambassador and a committed supporter of the NCSC Telecom Vendor Assessment, we are committed to enhancing the security of the UK’s telecommunications and software supply chains.

Beyond compliance, our Unit 42 team serves as an NCSC-assured Cyber Incident Response (CIR) Enhanced Level provider, offering specialised incident support to help UK organisations navigate and recover from the most complex incidents. For customers with specific requirements, particularly in defence and national security, we can provide support from personnel in countries with compatible security standards and legal frameworks. We are committed to the Telecommunications Security Act (TSA) Code of Practice, supporting the resilience of the UK’s public telecommunications networks.

Strengthening Local Expertise with National Impact

Our investment in the UK extends across our people, infrastructure and local expertise. Operating from our London hub, we remain deeply connected to the communities we serve and make a direct and indirect contribution to the UK economy. Our UK-based teams span engineering, threat research, professional services, policy and security strategy, and have a deep understanding of the UK market and the requirements of our customers. We also partner with NCSC CyberFirst and others on developing the next generation of cyber talent, and our Cyber Academy Program partners with universities and colleges all over the UK to train the next generation of cyber defenders.

A Partnership Built on Trust and Verifiable Commitments

The UK’s digital autonomy increasingly depends on its ability to secure both cyber infrastructure and the emerging AI economy. This requires partnerships that serve the UK’s long-term national interests, grounded in trusted institutions, local expertise and transparency that enables commitments to be verified, not simply asserted.

We recognise that the UK’s cyber landscape is shaped by its legal framework, strategic priorities and threat environment. From protecting critical infrastructure to enabling the secure adoption of AI, organisations across the UK need to trust their security partner to deliver on their commitments. Palo Alto Networks is committed to maintaining and increasing that trust through verifiable action, transparency, accountability and an enduring partnership.

To learn more about our comprehensive commitment to digital trust, privacy and security, visit the Palo Alto Networks Trust Center.

The post Securing the UK’s Digital Future appeared first on Palo Alto Networks Blog.

Delivering Exceptional Branch Experience for Modern Distributed Enterprises

In modern enterprises, the "network perimeter" is a relic of the past. As organizations scale globally to support home offices, satellite branches and third-party clouds, the challenge has shifted. Now the onus is on optimizing the end-to-end digital experience. And to maintain that edge, enterprises must operate at machine speed, supported by agentic autonomous operations. They must make sure that every user, regardless of their location or underlying hardware, experiences uninterrupted performance, seamless security and peak user experience from “Day 0” to keep pace with the speed of business.

To meet this demand, we are proud to announce the general availability of the Autonomous Digital Experience Management Universal Agent, or ADEM Universal Agent, for Prisma^® Access customers. This breakthrough marks a significant milestone in our mission to automate deployment and operations by unifying fragmented infrastructure and providing the flexibility to deploy, using infrastructure hardware of your choice.

Continued Data Gap Is a Roadblock for Agentic Operations

Organizations are shifting toward "best-of-breed" architectures to operate at machine speed, but they often lack the unified telemetry required for automated operations. Any tool built on top of this architecture to enhance the digital experience is only as effective as the data it consumes. Traditional monitoring tools often lack the precise data and contextual correlation needed to drive agentic resolution. In this siloed landscape, three critical gaps have emerged:

• Data Entropy: Fragmented data is inconsistent and leads to unreliable automation. Without unified data, automated workflows become unreliable and risky to execute at scale.
• Hardware Dependency: Traditional monitoring agents often require specific hardware platforms, which can severely limit deployment speed and the ability to adapt to diverse customer infrastructures.
• Blind Spots: Data entropy and hardware dependency have resulted in data gaps, and therefore visibility gaps at the edge, and as a result, automated systems cannot pinpoint root causes, leaving IT teams trapped in manual troubleshooting.

To operate at machine speed, enterprises need more than visibility. They need a unified, high-fidelity data engine to create the foundation of fail-safe autonomous operations for a stellar digital experience.

The Universal Agent Contributes to a Unified Data Engine for Agentic Autonomy

The ADEM Universal Agent is a hardware-agnostic solution that can be deployed on any branch site connecting to Prisma Access. It can be hosted on virtual machines or Docker containers, regardless of the underlying infrastructure. ADEM Universal Agent transforms branch experiences by providing a unified data engine for agentic operations:

• Deploy Anywhere and Monitor Everywhere
  The Universal Agent can be deployed at any branch site connected to Prisma Access, enabling IT teams to run synthetic tests from the branch regardless of underlying infrastructure hardware.

• Bridge the Gap Between Vendor-Locked Silos and Machine-Speed Operations
  The Universal Agent aggregates disparate environment data into key metrics geared toward agentic operations, enabling IT teams to move beyond fragmented troubleshooting, toward unified, proactive governance of their entire IT footprint.

• Accelerate Troubleshooting with Granular Path Analysis
  When a user in a remote branch reports a slowdown, IT teams need more than a "red/green" status light. The Universal Agent provides a granular path analysis, delivering a hop-by-hop visualization with both overlay and underlay tunnel metrics, enabling them to quickly pinpoint bottlenecks.

Thus, by mapping the entire path from the Universal Agent to the target application, IT teams can pinpoint exactly where the friction lies.

• Is it a local network issue?
• An ISP (internet service provider) bottleneck?
• A bottleneck at a handoff between providers?
• Is the application's own network at fault?

The Universal Agent Offers Inherent Security and Operational Simplicity

To help ensure that organizations can maintain peak performance and security amidst a constant stream of changes, the Universal Agent is built on a foundation of robust features:

• Native Integration with Prisma Access for Accelerated Troubleshooting
  The Universal Agent is natively integrated with Prisma Access and automatically discovers the POP (Point of Presence) location and IP infrastructure where the branch site is connected to monitor overlay and underlay, hop-by-hop, ISP health, all the way to the application to deliver precise root-cause analysis.

• Simplified Deployment at Scale
  IT teams can deploy and manage multiple agents at scale with just a few clicks from the Strata™ Cloud Manager Platform. Through our autonomous AI operations platform, we leverage enriched telemetry to watch the network and proactively manage it all from a unified platform.

• Comprehensive Full-Stack Visibility
  We utilize a single agent per branch site to deliver deep visibility into both overlay and underlay tunnel metrics. This granular path analysis allows IT teams to pinpoint network bottlenecks using hop-by-hop visualizations from the Universal Agent all the way to the target application.

The Universal Agent Optimizes End-to-End Digital Experience with Unified Operations

The launch of the ADEM Universal Agent represents a fundamental shift in how we architect the distributed enterprise, from moving beyond managing data gaps into agentic, machine-speed orchestration. Natively integrated with Prisma Access, the Universal Agent synthesizes disparate network data across multiple branch sites into a unified, vendor-agnostic ecosystem. By eliminating the 'noise' of traditional monitoring, it provides the deterministic precision and real-time context required to fuel agentic autonomous operations, enabling every automated action to be accurate, impactful and optimized for a flawless digital experience.

Ready to gain complete application experience from all branch sites and remote users? Watch our announcement video below to see the Universal Agent in action. Visit the ADEM webpage for more information or request a demo.

The post Announcing ADEM Universal Agent appeared first on Palo Alto Networks Blog.

The World Economic Forum’s Global Cybersecurity Outlook 2025 concurred that cyber risk is increasingly driven by operational complexity rather than lack of technology. As security environments expand, many organizations struggle with hands‑on skill gaps, slow issue resolution, and training that does not reflect how their environments de-facto operate. The result: higher operational risk – even in well‑equipped organizations.  To address these challenges, Check Point Services offers PS Private Training (Custom ILT): a tailored, instructor‑led program designed to strengthen operational mastery in real environments. The service replaces one‑size‑fits‑all instruction with customized training, hands‑on labs, and field‑proven best practices delivered by active Professional Services consultants, enabling […]

The post PS Private Training: Turning Cyber Complexity into Operational Control appeared first on Check Point Blog.

In the race to digitise public services, the UK’s digital estate has grown into a vast, borderless ecosystem that manual audits can no longer track. For UK Government departments, local authorities and NHS trusts, it is a sprawling, shifting landscape of cloud workloads, legacy infrastructure, shadow IT and third-party supplier connections.

This complexity creates blind spots that modern threats exploit. Recognising this vulnerability, the UK Government is moving toward a secure-by-design digital infrastructure, with the 2026 Government Cyber Action Plan (GCAP) setting a high bar for resilience. A central theme of the GCAP is the urgent need for the government to have better visibility of cyber security and resilience risk. Fundamentally, organisations cannot secure what they cannot see. As the GCAP explicitly states, the Government will use “data sources from across the government to truly understand government-wide and departmental cyber risks.”

The Challenge: Visibility in a “Landscape”

Many public sector organisations rely on a complex web of spreadsheets, data calls, legacy tools and manually curated lists to create an inventory of their internet-connected assets. But attackers do not look at an organisation's internal lists; they scan the internet for what they have forgotten to secure. Whether it is an unpatched server from a legacy project or a misconfigured database in a department, these "unknown unknowns" are the primary entry points for attackers.

The Strategic Mission: Empowering the Public Sector and Critical Industries

Palo Alto Networks Cortex Xpanse® is an active external attack surface management (EASM) solution that provides an outside-in view of organisations' entire digital footprint. It helps leaders meet national resilience goals:

• Comprehensive, Continuous Visibility: Xpanse scans the global internet space continuously and identifies every asset associated with an organisation, without requiring software agents to be installed on your systems.
• Accelerate Response: Leveraging automation, the solution streamlines response processes and enhances collaboration across dispersed teams from the sharing of findings to tracking actions and remediation.
• Supply Chain Integrity: Inline with the new Cyber Security and Resilience Bill (bringing managed service providers and critical third parties into scope), Xpanse allows organisations to assess the internet-facing security posture of third-party partners and suppliers, ensuring a weak link elsewhere doesn't compromise the broader mission.
• Alignment with GovAssure: Xpanse provides a consolidated risk profile and inventory for all internet-facing and cloud assets required for GovAssure assessments, turning a manual, months-long audit process into a continuous, data-driven cycle.
• Investment prioritisation: Xpanse provides that much needed visibility to help executive committees and boards prioritise investment decisions on legacy IT and technical debt.

Aligning to National Cybersecurity Centre (NCSC) Guidance

Palo Alto Networks Cortex Xpanse aligns with the National Cyber Security Centre (NCSC) external attack surface management (EASM) buyer's guide by providing automated discovery, continuous monitoring and risk prioritisation of internet-facing assets. It replaces manual, point-in-time audits with a proactive, agentless solution. By automating the discovery of all internet-accessible assets (including shadow IT and unmanaged cloud operations) the platform fulfills the NCSC’s core requirement for continuous global monitoring and rapid attribution. This data-driven approach allows for the automated prioritisation of critical exposures, such as RDP, and integrates seamlessly with multiple third-party automation and visualisation tools, including Cortex XSOAR® and XSIAM, to accelerate remediation with national incident response standards.

In fact, with Palo Alto Networks deployment of Cortex Xpanse, we were able to achieve a 95% reduction in external vulnerability management spending across more than 700,000 cloud instances, while improving coverage and outcomes.

Palo Alto Networks Cortex Xpanse Capabilities

• Discover Assets: Leveraging organisations' known asset inventory and other data points, Xpanse performs continual, automated discovery of all internet-accessible assets, effectively eliminating blind spots created by shadow IT and unmanaged cloud operations.
• Obtain Information: Always-on, continuous monitoring of an organisation's entire attack surface through daily scans of the global IP address space, ensuring that newly exposed services are identified quickly and accurately.
• Perform Analysis: Xpanse automates and prioritises alerts on all identified risks by severity, enabling organisations to optimise resolution and risk management, allowing teams to properly allocate resources and focus on the most critical risks to the organisation.
• Display Information and Provide Advice: Leveraging a unified view of the internet facing and cloud-based estate, Xpanse provides specific resolver guidance for every identified issue, supporting and monitoring automated resolution through multiple native integrations.
• Monitor Risk: Always on, discreet continual monitoring provides an independent real time status of the digital estate. Leveraging the threat intelligence capabilities of Palo Alto Networks, Xpanse is uniquely positioned to provide rapid coverage for newly discovered vulnerabilities, exploits or misconfigurations.

Securing the public sector requires a move from manual, point in time assessments to data-driven intelligence. Cortex Xpanse provides the foundations to remove blind spots, secure the supply chain and prevent unknown vulnerabilities in the face of sophisticated threats.

For further information and case studies, visit the links below, or schedule a demo.

• Palo Alto Networks: Slash false positives, remediation time budget with Cortex attack surface management.
• U.S. Pentagon: Palo Alto Networks Cortex Xpanse supercharge the Cyber Defences for the Department of Defense.
• Accenture: Secure rapid growth with Cortex Xpanse.

The post Closing the Gap by Enhancing Visibility and Mitigating Risks appeared first on Palo Alto Networks Blog.

Kaspersky Security Services provide a comprehensive cybersecurity ecosystem, taking enterprise threat protection to another level. Services like Kaspersky Managed Detection and Response and Compromise Assessment allow for timely detection of threats and cyberattacks. SOC Consulting provides a practical approach ensuring the corporate infrastructure stays secured, while Incident Response is suited for timely remediation with a maximized recovery rate.

This new report brings together statistics across regions and industries from our Managed Detection and Response and Incident Response services, and for the first time, it also includes insights from our Compromise Assessment and SOC Consulting services — all to provide you with more comprehensive view of different aspects of corporate information security worldwide.

The scope of MDR and IR services

Provision of Kaspersky’s MDR and IR services follows a global approach. The majority of customers accounted for the CIS (34.7%), the Middle East (20.1%), and Europe (18.6%).

MDR telemetry

Following the previous year’s numbers, in 2025, the MDR infrastructure received and processed an average of 15,000 telemetry events per host every day, generating security alerts as a result. These alerts are first processed by AI-powered detection logic, after which Kaspersky SOC analysts handle them as required. Overall, a total of approximately 400,000 alerts were generated in 2025. After counting out false positives, 39,000 alerts were further investigated.

Incident statistics

The distribution of remediation requests by industry has slightly changed as compared to previous years’ pattern. Government (18.5%) and industrial (16.6%) organizations are still the most targeted industries in regards to cyberattacks that require incident response activities. However, this year, the IT sector saw a growth in the number of IR requests, eventually being placed third in the overall industry distribution rankings and thus replacing financial organizations, which were targeted less often than in 2024. This is equally true for smaller-scale attacks that can be contained and remediated through automated means — the only difference is that medium- and low-severity incidents are more often experienced by financial organizations.

Key trends and statistics

This section presents key findings and trends in cyberattacks in 2025:

• The number of high-severity incidents decreased, following a downward trend that we’ve been observing since 2021. The majority of those incidents account for APT attacks and red teaming exercises, which indicates two landscape trends. On the one hand, skilled adversaries make efforts to increase impact, while on the other, organizations spend more resources on probing their defense systems.
• The most common vulnerabilities exploited in the wild were related to Microsoft products. Half of all identified CVEs led to remote code execution, notably without authentication in some cases.
• Exploitation of public-facing applications, valid accounts, and trusted relationships remain the most popular initial vectors, and their overall share has increased, accounting to over 80% of all attacks in 2025. In particular, attacks through trusted relationships are evolving: their share has increased to 15.5% from 12.8% in 2024. They are also becoming more complex: for instance, we witnessed a case where adversaries had compromised more than two organizations in sequence to ultimately gain access to a third target.
• Standard Windows utilities remain a popular LotL tool. Adversaries use those to minimize the risk of detection during delivery to a compromised system. The most popular LOLBins we observed in high-severity incidents were powershell.exe (14.4%), rundll32.exe (5.9%), and mshta.exe (3.8%). Among the most popular legitimate tools used in incidents we flag Mimikatz (14.3%), PowerShell (8.1%), PsExec (7.5%), and AnyDesk (7.5%).

The full 2026 Global Report provides additional information about cyberattacks, including real-world cases discovered by Kaspersky experts. We also describe SOC Consulting projects and Compromise Assessment requests. The report includes comprehensive analysis of initial attack vectors in correlation with the MITRE ATT&CK tactics and techniques and the full list of vulnerabilities that we detected during Incident Response engagements.

Kaspersky Security Services provide a comprehensive cybersecurity ecosystem, taking enterprise threat protection to another level. Services like Kaspersky Managed Detection and Response and Compromise Assessment allow for timely detection of threats and cyberattacks. SOC Consulting provides a practical approach ensuring the corporate infrastructure stays secured, while Incident Response is suited for timely remediation with a maximized recovery rate.

This new report brings together statistics across regions and industries from our Managed Detection and Response and Incident Response services, and for the first time, it also includes insights from our Compromise Assessment and SOC Consulting services — all to provide you with more comprehensive view of different aspects of corporate information security worldwide.

The scope of MDR and IR services

Provision of Kaspersky’s MDR and IR services follows a global approach. The majority of customers accounted for the CIS (34.7%), the Middle East (20.1%), and Europe (18.6%).

MDR telemetry

Following the previous year’s numbers, in 2025, the MDR infrastructure received and processed an average of 15,000 telemetry events per host every day, generating security alerts as a result. These alerts are first processed by AI-powered detection logic, after which Kaspersky SOC analysts handle them as required. Overall, a total of approximately 400,000 alerts were generated in 2025. After counting out false positives, 39,000 alerts were further investigated.

Incident statistics

The distribution of remediation requests by industry has slightly changed as compared to previous years’ pattern. Government (18.5%) and industrial (16.6%) organizations are still the most targeted industries in regards to cyberattacks that require incident response activities. However, this year, the IT sector saw a growth in the number of IR requests, eventually being placed third in the overall industry distribution rankings and thus replacing financial organizations, which were targeted less often than in 2024. This is equally true for smaller-scale attacks that can be contained and remediated through automated means — the only difference is that medium- and low-severity incidents are more often experienced by financial organizations.

Key trends and statistics

This section presents key findings and trends in cyberattacks in 2025:

• The number of high-severity incidents decreased, following a downward trend that we’ve been observing since 2021. The majority of those incidents account for APT attacks and red teaming exercises, which indicates two landscape trends. On the one hand, skilled adversaries make efforts to increase impact, while on the other, organizations spend more resources on probing their defense systems.
• The most common vulnerabilities exploited in the wild were related to Microsoft products. Half of all identified CVEs led to remote code execution, notably without authentication in some cases.
• Exploitation of public-facing applications, valid accounts, and trusted relationships remain the most popular initial vectors, and their overall share has increased, accounting to over 80% of all attacks in 2025. In particular, attacks through trusted relationships are evolving: their share has increased to 15.5% from 12.8% in 2024. They are also becoming more complex: for instance, we witnessed a case where adversaries had compromised more than two organizations in sequence to ultimately gain access to a third target.
• Standard Windows utilities remain a popular LotL tool. Adversaries use those to minimize the risk of detection during delivery to a compromised system. The most popular LOLBins we observed in high-severity incidents were powershell.exe (14.4%), rundll32.exe (5.9%), and mshta.exe (3.8%). Among the most popular legitimate tools used in incidents we flag Mimikatz (14.3%), PowerShell (8.1%), PsExec (7.5%), and AnyDesk (7.5%).

The full 2026 Global Report provides additional information about cyberattacks, including real-world cases discovered by Kaspersky experts. We also describe SOC Consulting projects and Compromise Assessment requests. The report includes comprehensive analysis of initial attack vectors in correlation with the MITRE ATT&CK tactics and techniques and the full list of vulnerabilities that we detected during Incident Response engagements.