AI

AI Agent Security Risks and Practical Controls

Understand tool permissions, prompt injection, and safe agent operations.

What to assess An AI agent may read files, call tools, or trigger external actions. Its risk depends on the data and privileges you give it, not just the model you choose.

How to apply it Treat retrieved pages, emails, and user content as untrusted. Instructions inside them can attempt to redirect an agent away from the user’s intended task.

Operational considerations Limit tool permissions, require confirmation for consequential actions, isolate secrets, and record actions for review. Apply output validation before downstream systems accept generated content.

Next step Test the workflow against realistic misuse and monitor failures. No single filter guarantees safety; layered controls and human checkpoints matter.

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