Here’s what Anthropic found when it turned Mythos loose on encryption algorithms
Anthropic's Claude Mythos AI system identified mathematical weaknesses in a post-quantum cryptography candidate and a simplified version of AES, the widely used encryption standard. The findings represent a notable demonstration of AI being applied to break or weaken cryptographic algorithms.
Why this matters: Encryption is the foundation that keeps private data private — your messages, your financial records, your medical history. If AI can find weaknesses in cryptographic algorithms faster than humans, the timeline for replacing vulnerable encryption gets shorter and less predictable. Post-quantum cryptography is supposed to be the safe harbor after quantum computers arrive. Finding cracks in a candidate algorithm before it is widely deployed is actually the good outcome. The harder question is who else is running tools like this, and whether they are publishing what they find.
Who should care: Cybersecurity · Privacy officers · Administrators · AI governance · Lawyers · General readers · Policy
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