security audits

a16z
2026-10-18 08:09:28

a16z Says AI Has Not Broken Modern Cryptography, but Could Speed Up Security Reviews

a16z crypto said recent advances in AI-driven mathematics have not shown that modern cryptographic systems are suddenly weaker, pushing back on fears that new models are on the verge of breaking the foundations of digital security. In a discussion featuring Stanford cryptographer Dan Boneh, a16z crypto general partner Eddy Lazzarin, research partner Justin Thaler, investment partner Liz Harkavy, and editor Sonal Chokshi, the group argued that the latest results belong to mathematics and computer science, not cryptanalysis. The speakers said there is still no evidence that elliptic-curve cryptography has become more fragile or that any specific cryptographic assumption is less secure than before. Thaler added that much of modern cryptography rests on the belief that certain efficient algorithms do not exist at all, meaning a more capable AI system would not automatically find one if none exists. Boneh also pointed to the unresolved P versus NP problem as a reminder that cryptography still depends on assumptions that remain unproven. Where AI may matter sooner, they said, is in compressing years of security review into much shorter cycles, helping researchers and companies test assumptions, audit software, and uncover vulnerabilities before deployment. The discussion also noted that work already done for quantum-readiness and cryptographic agility could help systems respond faster if new weaknesses emerge.

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