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Anthropic's Claude Mythos autonomously discovered novel attack vectors against a weakened version of the AES encryption standard, demonstrating that AI models can now independently identify cryptographic vulnerabilities previously reserved for human cryptographers. While this breakthrough was achieved on a simplified test variant and does not immediately compromise current banking or web security protocols, it highlights an emerging risk where autonomous agents could accelerate the discovery of flaws in full-strength algorithms before traditional researchers do. This development underscores the critical need to integrate AI-driven adversarial testing into standard cryptographic validation workflows to anticipate future threats from next-generation models.
Source coveringGDELT
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Claude Mythos de Anthropic logra vulnerar el cifrado AES

GDELT3 min read

La inteligencia artificial de Anthropic ha conseguido algo que hasta hace poco era un terreno exclusivo de matemáticos y criptógrafos humanos. Claude Mythos encontró nuevas formas de atacar algoritmos criptográficos que protegen transacciones bancarias y comunicaciones privadas en todo internet. El modelo más poderoso de la compañía consiguió este hito de forma autónoma, lo cual vuelve a prender las…

Excerpt shown under the publisher's RSS terms · 59 words · full text and figures are on the publisher's site

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