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Science, curated & edited by AI
Practical Magic  /  AI

Secret software can be proven safe and correct to an auditor without ever revealing a single line of source code.

Traditional software verification requires a third party to inspect the code, which risks exposing valuable intellectual property. Zero-knowledge model checking allows a developer to provide a mathematical proof that their system follows specific rules. The auditor can verify the proof while the internal logic of the system remains a total secret. This technology solves the tension between corporate secrecy and regulatory oversight in critical industries like banking or defense. It creates a new standard for trust where safety can be verified without compromising trade secrets.

Original Paper

Zero-Knowledge Model Checking

Pascal Berrang, Mirco Giacobbe, Jacob Swales, Xiao Yang

arXiv  ·  2605.00487

We introduce a technology to formally verify that a software system satisfies a temporal specification of functional correctness, without revealing the system itself. Our method combines a deductive approach to model checking to obtain a formal certificate of correctness for the system, with zero-knowledge proofs to convince an external verifier that the system -- kept secret -- complies with its specification of correctness -- made public. We consider proof certificates represented as ranking f