Anthropic Releases Claude Fable, Its Powerful Cybersecurity AI Model
Anthropic has publicly released Claude Fable — the consumer-facing name for its restricted Claude Mythos model — opening enterprise access to a system that autonomously found more than 10,000 high or critical security vulnerabilities during a months-long restricted preview. It is the most capable AI security tool Anthropic has shipped, and the decision to release it publicly rather than extend the gated program reflects a calculated bet that its safeguards are ready for broad exposure.
How We Got Here
Claude Mythos launched in restricted preview in April 2026 through a program Anthropic called Project Glasswing. Access was limited to a small pool of vetted security researchers and enterprise customers. The restricted phase was intentional — a model that can autonomously find vulnerabilities at scale is a dual-use tool by definition, and Anthropic wanted time to study how it behaved before opening it to anyone with a credit card.
During that preview, the model logged its results: more than 10,000 high or critical vulnerabilities across major operating systems and browsers. For context, a single critical vulnerability in production software often earns a $10,000–$100,000 bug bounty payout. Claude Fable found thousands of them, autonomously, in real-world code that has been under continuous professional scrutiny for years.
What's Available and at What Cost
Claude Fable is now available to enterprise customers and security-focused users through Anthropic's standard API and enterprise tiers. Pricing is set at roughly double the Opus pricing tier — Anthropic's most capable general-purpose model — positioning Claude Fable as a premium line item in a security team's budget, not a hobbyist experiment.
Anthropic has built enhanced safeguards into the release designed to limit offensive misuse while preserving the model's defensive and vulnerability-discovery capabilities. The specifics of how those safeguards are implemented have not been publicly disclosed.