Runtime Protection Agent
AI Security
Security Testing Orchestration
eBook
eBook

Zero-Day, Zero Delay: Your Mythos & AI-Era Vulnerability Guide | Harness Resource | Harness

The news of Mythos and Project Glasswing demonstrated something the security industry had long anticipated but never fully reckoned with: a frontier AI model autonomously discovering thousands of zero-day vulnerabilities.

The defensive implications are profound. The offensive implications are just as significant. This guide was written for teams to build defensive and offensive frameworks for vulnerability gaps in Mythos and AI era.

In this ebook, you'll find:

  • An anatomy of response and how it impacts your org
  • An hour-by-hour playbook to move through response with purpose
  • A zero-day preparedness checklist
  • Readiness assessment questions

In a zero-day event, your speed of understanding is your speed to survival. Not the speed of your patch. Not the skill of your engineers. Your ability to answer “what do we have, where is it exposed, and who owns the fix” within minutes, not days, is what separates a contained incident from a catastrophic one.

Published
May 21, 2026

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What you'll learn

Key Takeaways

AI Collapses the Exploit Window

Frontier AI models allow attackers to develop working exploits within hours of a zero-day disclosure. Organizations must respond at machine speed to survive.

Queryable SBOMs Accelerate Incident Response

Maintaining an accurate, automatically generated Software Bill of Materials is the most valuable preparation for zero-day events. It allows teams to find vulnerable dependencies in minutes rather than days.

Transitive Dependencies Define Your Risk Profile

Modern supply chains amplify the blast radius of vulnerabilities buried deep within inherited libraries. True security posture relies on mapping these hidden transitive dependencies before a crisis hits.

Rehearse Responses with Realistic Fire Drills

Organizations must establish incident roles, severity thresholds, and run quarterly zero-day simulations. Testing decision-making under AI-speed time pressure reveals critical gaps before an actual attack.

Automate Containment to Block Vulnerable Builds

Pipeline policies should automatically gate any build introducing an affected library version. This enforces machine-speed containment across the entire organization without manual intervention.