As AI accelerates vulnerability discovery and weaponization, the gap between detection and remediation has become cybersecurity’s most urgent challenge. Attackers are now exploiting vulnerabilities in days, sometimes before patches are even available while most organizations still rely on manual, fragmented remediation processes that take weeks to execute.
This Cyber Risk Series will explore why traditional remediation models are no longer sufficient in the post-Mythos era, and what must replace them. We’ll examine how leading organizations are shifting from human-speed, ticket-driven workflows to a new operational model built for machine-speed risk reduction.
Join us to learn how to operationalize three essential capabilities for this new era: hyper-prioritization that isolates truly exploitable risk, autonomous remediation that acts with speed and precision, and AI-driven detection that delivers high-fidelity signals early enough to matter. We’ll also address the critical question at the heart of autonomous remediation: trust. From exploit validation and phased deployment to rollback safeguards and patchless mitigation, we’ll examine the principles, safeguards, and strategies that can help organizations automate remediation with greater confidence while maintaining operational resilience.
The future of remediation is not simply faster patching. It is the ability to reduce validated risk continuously, safely, and at scale. This Cyber Risk Series will provide both strategic perspective and practical guidance for building a remediation strategy designed for the speed, scale, and realities of the Mythos era.
June 10, 2026
9:00 AM PT – 12:00 PM PT
Don’t miss the opportunity to learn from industry experts. Register now.
Featuring
Ashish Rajan
CISO of TechRiot.io and Co-Host of AI Security Podcast
Rich Mogull
Chief Analyst
Cloud Security Alliance
Richard Stiennon
Chief Research Analyst
IT-Harvest
Sumedh Thakar
President & CEO
Qualys
Saeed Abbasi
Head of Qualys Threat Research Unit (TRU)
Qualys
Eran Livne
Senior Director, Product Management
Qualys
Agenda
9:00 AM PT
Claude Mythos: When AI Finds the Bug First
Ashish Rajan
CISO of TechRiot.io and Co-Host of AI Security Podcast
9:15 AM PT
The Myth of “You Can’t Patch Your Way Through Mythos”
Zero-day vulnerability discovery is no longer the hardest problem in cybersecurity; zero-day remediation holds that title.
In a post-Mythos world, frontier artificial intelligence models can weaponize discovered flaws within hours of a patch release. In this session, President & CEO of Qualys, Sumedh Thakar will explore how AI rewrites the timeline from exploitation to remediation. He will discuss the importance of hyper-prioritization, exploit validation, and autonomous remediation in the age of AI, and how organizations can be more effective in their cyber risk management.
Sumedh Thakar
President and CEO
Qualys
9:30 AM PT
Cybersecurity A.M. (After Mythos): How AI-Powered vulnerability discovery changes everything for security programs
We’ve been talking about AI changing cybersecurity for years. Mythos is when it actually happens. Anthropic’s vulnerability discovery system — and the wave of competitors right behind it, breaks the timing assumptions every security program is built on. Patch cycles, risk acceptance, even how we measure success start to crack when AI finds bugs at machine speed and scale. This session unpacks what Mythos and similar systems really do, how the attacker-defender asymmetry shifts in attackers’ favor, and what CISOs need to start doing this quarter. You’ll leave with three working concepts: VulnOps, Mythos-ready security programs, and minimum viable resilience, plus a practical roadmap for the transition from BM (Before Mythos) to AM (After Mythos).
Rich Mogull
Chief Analyst
Cloud Security Alliance
10:00 AM PT
To be announced
10:30 AM PT
To be announced
Richard Stiennon
Chief Research Analyst
IT-Harvest
11:00 AM PT
To be announced
11:30 AM PT
To be announced
Saeed Abbasi
Senior Manager
Qualys Threat Research Group (TRU)
Eran Livne
Senior Director of Product Management
Qualys