ChainCatcher report: Google DeepMind posted on X that it has released new research demonstrating how AI agents can accelerate stress testing of cryptographic systems. Under human guidance, its model identified two significant vulnerabilities in the traditional 1024-bit RSA encryption system. DeepMind stated that modern 2048-bit systems are not affected by these specific flaws, but the work shows that, with the advent of an AI-driven era in mathematics and computation, we can no longer rely on historical computational hardness assumptions and must continuously stress-test cryptographic standards.
Google DeepMind discovers two major weaknesses in 1024-bit RSA encryption
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Summary
Google DeepMind has identified two critical vulnerabilities in 1024-bit RSA encryption, using AI to accelerate stress testing under human supervision. The findings support CFT initiatives to enhance security frameworks. While 2048-bit systems remain unaffected, the study reinforces the need for ongoing evaluation of cryptographic standards. As MiCA approaches implementation, this research underscores the importance of updating encryption protocols in regulated environments.
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