Designing the AI Agent Execution Boundary: What Agents Should Never Be Allowed to Do
Read OriginalThis article discusses the design of execution boundaries for AI agents in enterprise systems, emphasizing the need for hard security controls beyond prompt instructions. It covers key principles such as preventing agents from granting themselves more access, operating under shared human identities, or bypassing approval workflows. The piece provides practical guidance on enforcing policies through identity, tool brokerage, runtime checks, and observability to ensure agents remain safe and auditable in production workflows.
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