Securing the future of AI agents

Deepmind Google··Submitted by Mads Kristian Nylund
securityAgent SafetyAI Control Roadmap

The AI Control Roadmap outlines a defense-in-depth approach to securing AI agents, emphasizing the need for safeguards as their capabilities grow. It integrates traditional security measures with model alignment and threat modeling to ensure agents are safe and helpful, treating them as potential insider threats. The roadmap maps security protocols to measurable milestones in AI development, focusing on detection, prevention, and response, and recommends security measures based on model capability.

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