A chatbot may have disclosed customer data.
Contain harm, investigate, and prevent recurrence.
Choose two appropriate first actions.
Restrict affected functions, permissions, or data paths and preserve model, prompt, source, log, and change provenance for investigation.
Detailed explanation
This limits further disclosure or unsafe action.
This limits further disclosure or unsafe action.
The incident can be reconstructed and scoped.
The incident can be reconstructed and scoped.
Investigation and accountability are lost.
Investigation and accountability are lost.
The damage and misplaced trust can grow.
The damage and misplaced trust can grow.
Try it yourself
An example you can run in a temporary verification environment.
AWS公式AIF-C01 Domain 3.4・5.2の監視、インシデント対応、監査を確認する。Expected result
AI固有の来歴・データ漏えいを含めた初動と調査を説明できる。Key points
- Containment
- Evidence
- Provenance
Notes
- Environment: AWS公式AIF-C01試験ガイドとAWS公式ドキュメントの確認
- Command output formatting can vary slightly by distribution or tool version.
- Run the example in a temporary directory or process when possible.
Foundation review
Read the scope first
Check whether the command acts on the current shell, a new process, an existing process, or a file.
Verify the observable result
Use the supplied command and compare the output with the expected result.