Investigate an AI response leak across input, retrieval, and policy changes.
Correlate multiple service logs.
Choose two audit practices.
Use common request ID, principal, time, model, document, and policy versions, with synchronized time, retention, access separation, and tamper detection.
Detailed explanation
Correlation becomes uncertain.
Evidence is reliable and searchable.
Processing and changes can be correlated.
Sensitive exposure expands.
Check official documentation
Compare the following points with the official documentation.
AWS CloudTrail・CloudWatch Logs公式とAIF-C01 Domain 5.2の監査相関を確認する。
Official references
What to confirm
複数サービスのAIイベントを相関し、証跡と機密性を両立できる。
Key points
- Correlation ID
- Time sync
- Tamper detection
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
- Compare the definition with the AIF-C01 objective and the service documentation before applying it.
- Keep the concept separate from a particular answer choice or implementation step.
Foundation review
Audit correlation
Linking events from multiple services by identifiers, timestamps, and shared context.
Time synchronization
Aligning system clocks so event order and duration can be trusted.