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Unit 42

Palo Alto Networks Blog

FedRAMP Moderate Authorization for Palo Alto Networks’ Quantum-Safe Security Palo Alto Networks Named a Leader in the 2026 Gartner® Magic Quadrant™ for Hybrid Mesh Firewall Secure AI Coding: Governing every agent, artifact, and identity Building Securely From Day One: Palo Alto Networks Partners with the Zendesk Startup Program Making the Most of the Cloud Marketplace Opportunity Celebrating excellence: Palo Alto Networks announces the 2026 North America Partner of the Year Awards Putting OpenAI Cyber Models to Work for Defenders Palo Alto Networks Recognized as the Only Vendor to be Named a 4X Leader in SASE and SSE Gartner Magic Quadrant Reports Strengthening Security of AI Coding: Prisma AIRS API Integration with OpenAI Codex Bridging the Gap: An Unprecedented Approach to Browser and Endpoint Security Prisma AIRS - Unified Data Protection for Claude Redefining Network Security for the Frontier AI Era Introducing Unit 42 Threat Intelligence: Know What Matters, Understand the Adversary, and Act Faster Palo Alto Networks Achieves Global CBPR and PRP Certifications Announcing the General Availability of Prisma AIRS AI Gateway Palo Alto Networks and AT&T - Delivering Quantum-Resilient SASE Fabric What It Takes to Secure Claude Cowork Across the AI Enterprise It Might Feel Like We’ve Been Here Before, But We Haven’t A Defining Moment in Identity Security New Executive Order Accelerates Post-Quantum Readiness Amid the Cryptographic Reset Built to Last: What Stonehenge Teaches us About IT Architecture & Cyber Resilience Expanding Our Footprint: Local Cloud Availability for Prisma AIRS in Japan The Invisible CEO of Crisis: Breaking the Cycle of CISO Burnout Securing the Agentic AI Frontier: Palo Alto Networks and Databricks Deliver a New Standard for AI Security Securing Canada’s Digital Future: Why PBMM Matters Beyond Government Beyond Human Oversight: Adapting to the Frontier AI Era Shifting from Data Hoarding to Active Defense: Navigating the New Era of OMB M-26-14 European Digital Sovereignty Starts With Trust How AI and Evasion Demand a Radical Shift in Network Threat Prevention Reinventing Security for the Agentic NVIDIA AI Factory
Unit 42 Defends Organizations Against Next-Gen Frontier A...
Sam Rubin · 2026-08-22 · via Palo Alto Networks Blog

Frontier AI has compressed attack timelines from weeks to minutes. 

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

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

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

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

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

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

How It Works

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

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

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

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

Visit Palo Alto Networks Frontier AI Defense to learn more.