Get Ahead of AI-driven Exploits
Anthropic’s Claude Mythos Preview System Card confirmed what many security leaders feared: AI has crossed a meaningful threshold in autonomous exploit development. Where previous models found working exploits in less than 1% of attempts, Mythos succeeds more than 70% of the time — and in controlled evaluations against Firefox’s JavaScript engine, it produced 181 working exploits under conditions where its predecessor managed two.
But the real story isn’t just capability. It’s timing. Vulnerability disclosure-to-exploitation windows that averaged 63 days less than a decade ago have already compressed to five days. AI-driven tooling threatens to push that further toward hours for certain vulnerability classes. Meanwhile, the lag between frontier and open-weight models has shrunk from 16 months to roughly 60 days — meaning Mythos-level capability without behavioral constraints is likely months away from broad availability.
In this session, Melissa Bischoping walks through what the Mythos System Card reveals, what it means for vulnerability management and patch programs, and how organizations can respond before the window closes. Topics include the shift from periodic to continuous patch management, what AI agents inside your perimeter mean for your attack surface, and why knowing what’s on every endpoint has never mattered more.
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Speakers
Melissa Bischoping
Head of Threat Research and Intelligence, Tanium
