AI Agent Security: Essential Guide to Safe Tool Access
The moment you connect a language model to a ticketing API, a finance system, a mailbox or a shell, you stop shipping a chat feature and start shipping a new class of privileged user. This guide covers the engineering work that keeps that user contained: how to classify and scope tools into risk tiers, why an agent needs its own identity and short-lived credentials rather than a shared service account, how to contain the blast radius of a single compromised run with sandboxing and default-deny egress, where to place human approval gates so they are decisive rather than theatre, what actually works against indirect prompt injection arriving through retrieved content, what to log so an incident is investigable, how to test the controls before launch, and a 90-day rollout plan with realistic costs and named owners.
