Set AI boundaries before delegating a task

Review destinations, action authorization, and traceable records at the execution boundary.

When to use this guide

Use this when an AI reads external material and uses connected tools or services.

Separate authorized actions, actual inspection evidence, and what remains unknown.

Where to start

  1. 1 / 3

    Define inspection scope first

    Choose targets, readable material, and tools, separately from authorization for changes or external transfers.

    Evidence to retain

    Targets, authorized operations, and scope unverified due to missing material.

  2. 2 / 3

    Review execution-side enforcement

    Review whether the executor validates targets and operations without treating external text as permission.

    Evidence to retain

    Tool definitions, execution checks, and corresponding existing tests.

  3. 3 / 3

    Separate observations from conclusions

    Record inspected scope, evidence, and unperformed checks without including secret values.

    Evidence to retain

    Records linking targets, actions, and outcomes, plus evidence references for conclusions.

Apply the rules to your environment

Read the source incidents

Selected examples. Each record retains its evidence status, unknowns, and sources.

Connect terms to review questions

Tool permission
The destinations, resources, and operations a tool is authorized to use. Text encountered by an AI or pipeline must not grant extra authority.
Does the execution component check that the target and operation are authorized?
Open the related inspection rule →
Audit log
A record tracing the actor, time, target, and action. Exclude secret values and unnecessary personal information.
Can you reconstruct the action, and is access to the record controlled?
Open the related inspection rule →
Secret
A value granting access, such as an API key or authentication token. Review records should identify it without containing the value.
Can you identify its purpose, target, and owner without opening its value?
Open the related inspection rule →

Keep conclusions within the evidence

  • Model answers and prompt warnings are not proof that authorization enforcement worked.
  • Keep evaluation observations, real incidents, and unverified AI involvement distinct.

Giving an AI reference material and establishing evidence about a target are different stages.

References and review dates

Learning review 2026-11-12 · Catalog review 2026-11-09

Give this scope to your AI

Share these two rules and examples without expanding the scope. Checks without evidence remain unverified.

Open this inspection pack →

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