Schneier: AI Vulnerability-Finding Models Pose New Disclosure Problems
What Happened
Bruce Schneier and David Lie analyzed Anthropic's restricted release of Claude Mythos Preview, a model specialized in autonomous vulnerability discovery. Their critique: while the capability is a genuine game-changer, restricted access prevents academic researchers from validating false-positive rates or assessing real-world utility. The post argues for more transparent evaluation frameworks.
My Take
This is the defensive-vs-offensive AI question made concrete. Restricted access protects against weaponization but also prevents the security community from building mature defenses against the same capability when it inevitably leaks or gets re-implemented. Boards should assume that within 24 months, a Mythos-class capability will be available to motivated attackers, and budget for vulnerability-discovery to compress from quarterly to continuous. Patch-management velocity is about to become an existential KPI.
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