DeepMind works at the cutting edge of AI – what it calls Frontier AI. This includes the path toward AGI (artificial general intelligence) where AI becomes able to reason for itself. In a new report (PDF), DeepMind analyzes the use of current AI in cyberattacks, and the common frameworks used in evaluating such attacks – and finds them to be lacking. This will only worsen as the capabilities of AI and adversarial use of emerging AI improves. DeepMind examined the various existing methods of evaluating an attack that is AI-assisted or derived. The biggest value of attack evaluation frameworks is demonstrating the attack methodology of adversaries and allowing defenders to focus their defenses on particularly relevant areas of the attack chain. However, DeepMind found that current AI frameworks are ad hoc, not systematic, and fail to provide defenders with useful insights.

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