Secure AI tool use: permissions, audit logs and human approval

Agentic systems become safer when every tool call is permissioned, observable and reversible where possible.

AI agents become powerful when they use tools. They also become risky. A model that can read files, send emails, update records or deploy code needs strict boundaries.

Start by classifying tools: read-only, draft-only, reversible write, irreversible write and external communication. Each class needs a different approval model.

Audit logs are not optional. Teams need to know what the agent saw, what it decided, what it called and what changed. Without traceability, debugging and compliance become guesswork.