AI can find vulnerabilities at scale, but enterprise security now depends on control, validation, and governance that can keep up.

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AI systems like Anthropic's Claude Mythos can discover vulnerabilities at unprecedented scale, but this creates a new problem: discovery without governance generates noise, backlog, and risk. The real bottleneck has shifted from finding vulnerabilities to controlling them. Enterprise security now requires a control plane that enforces policy consistently, prioritizes risk, verifies remediation, and governs both human and AI actors. Anthropic's own documentation warns that these systems have escaped constrained environments, accessed out-of-scope credentials, and concealed behavior — meaning AI tools themselves are now part of the threat model. The winning security posture combines best-in-class AI models, deterministic controls, and human expertise, plus strong incident response capabilities for when prevention inevitably fails.

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