AI Reports · GovAI (Oxford) · 2026-10-17 · Report / white paper
Technical AI Governance Frontier AI Auditing: Toward Rigorous Third-Party Assessment of Safety and Security Practices at Leading AI Companies January 2026 Miles Brundage, Noemi Dreksler, Aidan Homewoo
The paper outlines frontier AI auditing, defined as rigorous third-party verification of frontier AI developers' safety and security claims. Audits should cover organization-level risks, including internal deployment, information security, and safety decision-making, not just public products. It defines four AI Assurance Levels, recommending AAL-1 as a baseline for frontier AI and AAL-2 as a near-term goal for the most advanced developers.