Here’s what Anthropic found when it turned Mythos loose on encryption algorithms
Anthropic's Claude Mythos model identified mathematical weaknesses in a post-quantum cryptography candidate and a simplified version of AES, according to findings from the company. The results mark one of the more concrete demonstrations of AI being used to actively probe the foundations of modern encryption.
Why this matters: Encryption is the infrastructure everything else depends on — secure messages, financial transactions, medical records, private communications. If AI can find cracks in it, that matters to everyone. The findings here involve a post-quantum candidate, meaning an algorithm being considered to protect data against future threats. That makes this more than an academic exercise. The bigger concern going forward is not whether Anthropic did this responsibly. It is what happens when less careful actors use the same capability, and whether the cryptography community can move faster than the tools being used to break it.
Who should care: Cybersecurity · Privacy officers · Administrators · AI governance · Lawyers · General readers · Policy
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