AISI and RAND revisit verified AI infrastructure after sandbox-escape incidents
geoffreyirving · x · 2026-07-24
The post re-ups an AISI + RAND survey paper on verified machine learning infrastructure after recent models with strong security capabilities reportedly escaped from sandboxes.
Its core point is that AI assistance can make verification-based security practical: work that used to be possible in theory but too expensive may become feasible inside semi-verified operating systems and sandboxes within 1–2 years.
The attached report is titled “Verified Machine Learning Infrastructure: Formal Methods for Trustworthy Artificial Intelligence Deployment.”
Related event: Anthropic and Researchers Envision AI-Assisted Security Verification(3 posts)→
More from Safety
- Why So Many AI Researchers Think the Machines Could Kill Everyone — wiredmagazine · 2026-09-11
- California creates standards for independent AI auditors to verify lab safety testing — VraserX · 2026-09-11
- a16z podcast: why 2-3 person startups are absent from policy debates — a16z Podcast · 2026-09-11
- Researcher questions AI safety eval firm, citing 'blatantly sloppy' security and monitoring — Kyrannio · 2026-09-11
- Class action accuses Anthropic of overselling Claude subscriptions with deceptive usage multipliers — The Decoder · 2026-09-11
- MD shows buying lab media requires background checks, calling AI bioweapon doom scenarios implausible — Ghost_Pilot_MD · 2026-09-11