Google DeepMind AI agents accelerate RSA cryptanalysis by 1,600x

Google DeepMind published research on November 6, 2026, demonstrating that AI agents can expose weaknesses in legacy 1024-bit RSA cryptography and accelerate signature forgery approximately 1,600 times more efficiently than traditional cryptanalysis methods. The findings were reported in multiple AI research aggregators on November 7.

The development has immediate implications for internet security infrastructure, as 1024-bit RSA remains deployed in legacy systems despite NIST recommendations for longer key lengths. The research demonstrates AI systems are now capable of materially accelerating cryptographic attacks that were previously computationally infeasible at scale, potentially requiring accelerated migration timelines for encryption standards across financial, government, and communications infrastructure.

Sources

AI Daily Digest, GitHub issue 205, published November 7, 2026, github.com; Rio Rundown, AI governance newsletter, published November 7, 2026, riorundown.substack.com