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AI CURATED HOT STORY · 10/21/2026

Anthropic Uses Claude to Achieve Large-Scale Formal Code Verification

5 reports archived0 independent sourcesupdated 10/23/2026, 19:32:19
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Anthropic's Frontier Red Team, in collaboration with Theorem Labs, achieved a breakthrough by using Claude to perform large-scale formal verification on over 100 real-world open-source libraries within weeks. This marks the first time AI has extended mathematically rigorous security proofs from niche, expert-driven projects to industrial scale, generating approximately 180 million lines of proof code.

Cross-verified reports indicate the system successfully proved safety properties at the RISC-V assembly level for libraries in Google's OSS-Fuzz. Compared to traditional efforts like seL4, which require decades of human labor, this AI-driven automation drastically lowers barriers. Additionally, Anthropic proposed an attack surface reduction strategy using Claude to automatically remove unnecessary reachable code, offering a more scalable defense against zero-day vulnerabilities than patching individual bugs.

This development establishes a new paradigm for building software with provable security. With plans to extend verification to critical infrastructure like glibc and OpenSSL, this approach addresses trust issues in AI-generated code and could reshape global software supply chain standards by making formal verification accessible to developers.

LATEST/Theorem Labs is advancing its roadmap to extend Claude-driven formal verification to critical infrastructure like glibc and OpenSSL, while integrating attack surface reduction techniques to establish verifiable security trust mechanisms for AI-generated code.

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Coverage timeline

Total 5 reports · Latest first
  1. 新智元 (微信公众号)T2·88 pts
    • Claude generated 180 million lines of Rocq proof code, verifying 239 test entry points across 123 open-source libraries.
    • The AI uncovered hidden vulnerabilities and real x86 hardware defects that were missed by trillions of traditional stress tests.
    • Formal verification proofs for the first 25 libraries have been open-sourced, marking a new phase in AI-assisted software security validation.