AI Security Leaderboard: Methodology, Results and Minimal Standard
The AI Security Leaderboard is an independent benchmark that ranks the safeguards of frontier AI models from least to most secure. It tests models against the FAR$.$AI Minimal Standard for Safeguards, which represents a minimum bar for security: meeting it does not guarantee a secure model, but failing to meet it guarantees a lack of state-of-the-art security. Version 1.0 covers severe misuse requests across chemical, biological, radiological, nuclear, and explosive (CBRNE) threats and offensive cybersecurity. In this report, we tested four leading models for universal jailbreaks in the context of this minimal standard, and found more than a hundredfold difference in security. Claude Fabl...
| Authors | Jasper Timm, Lukas Struppek, Ziwei Xu et al. |
|---|---|
| Primary category | cs.CR |
| Published | 4 August 2026 |
| Last updated at source | 5 August 2026 |
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