AI-assisted vulnerability discovery
Capable models may surface latent bug classes across large codebases — when paired with disciplined human review, narrow scopes, and reproducible evidence.
An independent access-interest registry and research hub for teams tracking Project Glasswing, Claude Mythos, and the future of AI-assisted vulnerability discovery.
Independent platform. Not affiliated with Anthropic. Submission does not grant access to Claude, Claude Mythos, or any restricted model.
Capable models may surface latent bug classes across large codebases — when paired with disciplined human review, narrow scopes, and reproducible evidence.
Maintainers of widely-used libraries, kernels, runtimes, and infrastructure carry asymmetric risk. Defensive AI signals are most useful where impact is highest.
Findings without expert validation create noise. Every signal is a hypothesis. Every disclosure is a coordinated process.
The community whitelist is intended for people who carry real defensive responsibility for software, infrastructure, or research integrity.
Describe what you protect and why.
Acknowledge defensive-only intent.
Independent human review of the application.
Periodic source-attributed briefs.
Only Anthropic can grant Claude Mythos access.
A short, strict code of conduct for anyone using AI assistance in security research.
Practical, defensive guidance for security leaders preparing for a world where AI accelerates vulnerability discovery.
Advanced AI models can help defenders find hidden bugs and prioritize fixes — but only with disciplined human oversight.
Join the independent community whitelist for source-attributed updates, original research briefs, and a clear record of where defensive AI cybersecurity is going.