Your AI Agent Trusts Things You Never Approved: How to Restore Authorization Boundaries
Your AI agent trusts whatever its runtime, tools, credentials, network path, and delegated identities allow it to reach—even when nobody approved the resulting action. Restore control by giving the agent its own identity, enforcing authorization outside the model, issuing narrowly scoped credentials, filtering every tool call, segmenting reachable systems, and logging each decision. The agent can propose an action; infrastructure must decide whether it runs. Key Takeaway: Treat an agent as an untrusted non-human workload whose authority is computed per action, never inherited wholesale from its user, host, tool server, or prompt. ...