0-Day to 10x Discovery: Security at the Speed of Mythos (Aug. 20th)
Thursday, August 20th, 2026: 1:00 PM to 2:00 PM
This session covers why faster discovery alone doesn't solve the problem - your triage, remediation, and deployment capacity haven't scaled to match - and shares a five-step framework (Understand Exposure, Prioritize, Remediate, Protect Production, Verify) for building a security program that can keep pace, including a real-world example of a financial services company that cut patch cycle time from 5 days to under 2 hours.
Virtual
When Mythos launched, the industry braced for a flood of 0-days. Three months in, that's not 100% what happened. Instead, organizations are using frontier LLMs like Mythos as vulnerability scanners, and finding vulnerabilities at 10x the previous rate. That's a bigger shift than it sounds: it means AppSec teams now face a much higher volume and velocity of vulnerability discovery as a steady-state condition, not just a one-time spike during a 0-day event.
What you’ll learn includes:
- Why the anticipated "0-day flood" didn't materialize - and what actually happened instead when frontier LLMs like Mythos were used as vulnerability scanners
- Why a 10x increase in vulnerability discovery doesn't automatically mean 10x better security - and where the real bottlenecks in your AppSec program are likely hiding
- The five-step framework for machine-speed response (Understand Exposure, Prioritize, Remediate, Protect Production, Verify) and how to apply it to both 0-day events and steady-state discovery volume
- Why "5 minutes to fix, 30 days to deploy" is the real math behind AI-accelerated remediation - and what it takes to close that gap
- A real-world example of how one global financial services institution cut patch cycle time from 5 days to under 2 hours across 1,000+ microservices
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