Big Tech-Backed Framework Sets Shared Ratings for AI Jailbreaks

November 7, 2026
Big Tech-Backed Framework Sets Shared Ratings for AI Jailbreaks
  • The Frontier Model Forum released version 1.0 of a framework on 5 November 2026 to rate successful jailbreaks against frontier AI models, backed by Amazon Web Services, Anthropic, Google DeepMind, Microsoft and OpenAI.

  • The framework scores each reproducible jailbreak from 0 to 3 across four categories: capability gain and capability scope assess severity, while ease of deployment and ease of discovery assess likelihood.

  • A jailbreak is rated Negligible if it offers no meaningful capability improvement over the most capable widely available models; otherwise, severity and likelihood are combined to assign Low, Medium, High or Critical, with capability gain also constraining the final band.

  • The article’s calculations identify 256 possible score combinations, including 64 that fall at the Negligible gate; before capability-gain adjustments, the remaining combinations map to 15 Low, 81 Medium, 81 High and 15 Critical outcomes.

  • Ratings are relative to the most capable widely available models at the time of assessment—currently October 2026—so the same jailbreak could be rated differently as models improve; ExploitBench and ExploitGym are named as possible initial screening tools.

  • OpenAI posted its support on X on 6 November, with its Head of National Security Policy, Sasha Baker, calling the framework a step toward a shared way to compare jailbreak severity; executives from the other four backing companies also endorsed it.

  • The framework is preliminary and intended to prompt discussion, not serve as operational guidance; it still needs testing for consistency across assessors and measures relative rather than absolute risk.

  • A risk band does not prescribe remediation, which remains each company’s responsibility, and the forum invited public comments on the framework’s dimensions, tiers and thresholds through 21 December 2026; feedback from experts at NIST CAISSI, NSA SISC, UK AISI and UK NCSC does not imply their endorsement.

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