Run sandboxed action tests with approval gates: Which evidence | AIGP
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Run sandboxed action tests with approval gates: Which evidence is most decision-useful?

AIGP Understanding How to Govern AI Deployment and Use Medium

Sandboxed tests with logs and approval gates resolve whether unexpected agent actions are observable and containable.

The question

A media company proposes an autonomous editing agent that can publish clips and alter production files. Before approval, the unresolved issue is whether unexpected actions can be contained. Which evidence is most decision-useful?

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  1. Ask editors whether the interface feels understandable and convenient.
    User feedback can identify usability concerns, but it cannot establish technical boundaries around publishing or production-file modification.
  2. Review the vendor’s general security certification.
    A certification may cover vendor controls, but it does not show this agent’s permissions, observable actions, or containment effectiveness.
  3. Run sandboxed action tests with approval gates and replayable logs. ✓
    Sandbox tests directly reveal whether tools, approvals, logs, and containment controls limit unexpected agent actions in this deployment.
  4. Compare the agent’s average editing accuracy with benchmarks.
    Accuracy benchmarks address output quality, not whether unauthorized publishing or file changes can be detected and stopped.
The trap
For agents, test what tools can do, what gets logged, and where human approval is enforced.

How to remember it

Sandboxed tests with logs and approval gates resolve whether unexpected agent actions are observable and containable.

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