AI agents achieve goals through side effects using tools, creating safety challenges. The solution is implementing a deterministic "box" - a security layer outside the agent that controls which tools it can access and how it can use them. This approach uses network isolation (like AWS AgentCore Runtime) combined with gateway-enforced policies (using Cedar policy language) to provide strong guarantees about agent behavior, regardless of prompts or potential attacks. Unlike internal safety measures like alignment or steering, external controls offer deterministic protection while preserving the flexibility that makes agents valuable.
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