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This article details Microsoft Research's application of formal verification techniques using Rust, Lean, and the Aeneas toolchain to ensure the correctness of cryptographic implementations like SHA-3 and ML-KEM. By mathematically proving that code adheres to standard specifications, this approach directly addresses the critical need for robust security in post-quantum cryptography where traditional testing is insufficient. The release of verified code and proofs represents a significant advancement in the reliability of foundational computing infrastructure.
Sources coveringMicrosoft Research, AI Alignment Forum, Cybersecurity News, crowdfundinsider.com
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Verifying Rust cryptography in SymCrypt, from standards to code

Microsoft Research6 min read

Cryptographic code supports vital protections in modern computing systems. Learn how a new method helps verify code as developers write it while preserving speed and adaptability as it gets implemented and evolves. The post Verifying Rust cryptography in SymCrypt, from standards to code appeared first on Microsoft Research.

SymCrypt develops new verified cryptography using Rust, Aeneas, and Lean to provide higher security assurance. We prove that their code safely and correctly implements standard algorithms, notably for post-quantum cryptography. We are releasing verified code, specs, properties, and proofs initially for SHA-3 and ML-KEM. Aeneas allows verifying a large subset of Rust code and provides efficient automation in Lean to support the proof effort. Agents allow scaling automation by writing proofs that are independently-verifiable. Cryptographic code sits at the foundation of modern computing. It protects operating systems, cloud services, firmware, messaging systems, and the protocols that connect them. Small mistakes can have outsized consequences: a single arithmetic slip, missing bounds check, or incorrect…

Excerpt shown under the publisher's RSS terms · 113 words · full text and figures are on the publisher's site

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