Discovering Cryptographic Weaknesses with Claude
Anthropic researchers have demonstrated that their Claude AI model can identify mathematical vulnerabilities in cryptographic algorithms. While these findings currently apply to research-grade algorithms rather than production systems, they highlight the potential for AI to impact digital security.
Why it matters
This research signals a shift where AI could become a powerful tool for both discovering and potentially exploiting fundamental flaws in global encryption standards.
Using Claude Mythos Preview, researchers at Anthropic have discovered improved ways to attack cryptographic algorithms (the mathematical methods used to keep online data private). The first attack significantly weakens HAWK, a digital signature scheme that was built for a post-quantum world. The second identifies a new way to attack round-reduced AES, the most widely used symmetric cipher. These are substantial research advances, but they do not currently affect any production systems. This post describes both findings in more detail and discusses the implications for cryptography in an age of powerful AI models.
When we launched Claude Mythos Preview, we showed it was able to autonomously find and exploit vulnerabilities in almost every piece of software we pointed it at. This included several major cryptographic libraries—shared collections of code that are used to encrypt data.
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