Securing the future of AI agents

AI agents are autonomous systems that execute complex tasks, and as they become more capable, they need stronger security measures to prevent unintended harm. The AI Control Roadmap is a framework that uses multiple layers of protection including threat modeling, real-time monitoring by trusted AI systems, and graduated response capabilities to manage risks from agents that may be imperfectly aligned with intended goals. The approach treats increasingly capable AI agents like potential insider threats, monitoring their behavior and blocking harmful actions before they occur, while scaling security measures as AI capabilities advance. This matters because AI agents could create significant economic value, but their growing power requires defenses that go beyond traditional model alignment to ensure safe deployment.