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Anthropic's Claude Mythos Preview has demonstrated the ability to identify structural mathematical flaws in cryptographic algorithms like AES and post-quantum schemes, surpassing human experts by finding previously unknown symmetries. This capability shifts AI research from detecting implementation bugs to fundamentally stress-testing the theoretical foundations of digital security protocols. The findings underscore a critical need for re-evaluating key sizes and algorithmic assumptions as autonomous agents become capable of challenging established cryptographic standards.
Claude Mythos Preview Discovers Cryptographic Weaknesses That Human Experts Missed for Years
Anthropic researchers using Claude Mythos Preview have uncovered mathematical flaws in major cryptographic algorithms that human experts failed to spot for years. The AI found improved attacks against HAWK, a post-quantum digital signature scheme, and a reduced-round version of AES, the world’s most widely used symmetric cipher. Neither result threatens production systems today, but both […] The post Claude Mythos Preview Discovers Cryptographic Weaknesses That Human Experts Missed for Years appeared first on Cyber Security News.
Anthropic researchers using Claude Mythos Preview have uncovered mathematical flaws in major cryptographic algorithms that human experts failed to spot for years. The AI found improved attacks against HAWK, a post-quantum digital signature scheme, and a reduced-round version of AES, the world’s most widely used symmetric cipher. Neither result threatens production systems today, but both mark a significant shift in how…
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