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Cloudflare has announced that its security-focused AI model Mythos Preview was tested across over 50 of their own code repositories as part of the Project Glasswing initiative. The primary finding is that earlier models, while capable of identifying individual vulnerabilities, often fell short in stitching these together into working exploits.
- The Mythos Preview model demonstrated an ability to chain multiple small vulnerabilities into functioning exploits and provide proof-of-concept code execution.
- Earlier models found similar individual bugs but struggled with the process of connecting them into exploit chains, leaving some questions about their actual exploitability unresolved.
- Multistage harnesses involving up to 50 parallel agents and adversarial review were used by Cloudflare to ensure findings could be validated without needing extensive human intervention.
Cloudflare emphasizes that a single AI model isn’t sufficient for comprehensive security assessments. They are advocating for the development of more robust, multi-faceted approaches to ensure the reliability of their models in identifying and mitigating potential exploits.
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