AI Tools

Mythos

Anthropic's most advanced AI model that can find software vulnerabilities and security flaws faster than human security researchers.

What are Mythos?

Mythos is Anthropic's most capable AI model, sitting above Claude Opus in their lineup and specifically designed for advanced security testing and vulnerability research.

It can discover decades-old bugs in major operating systems, chain multiple exploits together, and build working attacks that escape both browser and OS sandboxes. In testing, it found a 27-year-old bug in OpenBSD and a 16-year-old vulnerability in FFmpeg that survived millions of fuzzing runs.

The catch? Anthropic isn't releasing it publicly. Instead, they're running Project Glasswing, giving controlled access to major tech companies like Amazon, Apple, Microsoft, and Google so they can find and patch vulnerabilities before attackers do. A single vulnerability scan costs around $50, making it dramatically cheaper than traditional penetration testing.

Most builders won't get direct access. The model is too powerful for general release, but its capabilities are reshaping how companies think about security testing and bug bounties.

Good to Know

Sits above Claude Opus as Anthropic's most advanced model tier
Found vulnerabilities in OpenBSD (27 years old) and FFmpeg (16 years old) that humans missed
Can chain multiple exploits together and escape browser/OS sandboxes
Costs around $50 per vulnerability scan vs thousands for traditional pen testing
Not publicly available - only accessible through Project Glasswing to major tech companies

How Vibe Coders Use Mythos

1
Running automated security audits on your codebase before attackers find the holes
2
Discovering zero-day vulnerabilities in open source dependencies you rely on
3
Testing if your application's security controls actually work against advanced attacks
4
Finding bugs that traditional fuzzing and code review missed

Frequently Asked Questions

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