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Anthropic's AI model "Mythos" successfully identified a structural weakness in the HAWK post-quantum encryption candidate, effectively halving its security strength and causing NIST to withdraw it from standardization consideration. This incident highlights how advanced machine learning agents can accelerate cryptanalysis by autonomously synthesizing complex mathematical attacks that traditional human researchers might overlook or take significantly longer to discover. The event underscores the urgent need for AI-driven stress testing as a core component of future cryptographic development pipelines, particularly in the race toward quantum-resistant standards.
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An advanced AI model revealed a critical vulnerability in the "HAWK" encryption algorithm, leading to its withdrawal from competition and preventing it from becoming an official U.S. standard. Designed to resist future quantum computer attacks, this algorithm had passed two rounds of…
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