Safety & Security · Software component
Access Anomaly Detector
Software componentSafety & SecuritySafety, Security & Governancearc:AccessAnomalyDetector
A monitoring component that analyses personal-data access logs for anomalous patterns such as unusual access times, bulk exports, repeated failed authentication or unexpected locations, and raises security alerts.
Responsibility. Detects suspicious access to personal data from audit trails.
Also known as: Access log analysis
Relationships
reads dependency
escalates to dynamic
triggers dynamic
Quantitative guidance
As stated by the sources; verify before use.
- Flags principals with more than 5 denied attempts or access to more than 50 resources in a 30-day review window (Ref9.05).
Classification
- Quality attributes
- Security (ISO/IEC 25010 | NIST AI RMF: secure and resilient)
- Risks mitigated
- Insider misuseCredential compromiseBulk data exfiltration
- Frameworks & regulations
- GDPR Art. 32
Sources
- Ch9.7: T. Nguyen, "GDPR and Data Protection Regulations," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 9.7. ISBN: 9798244538229.
- Ref9.05: "Privacy and Data Protection for AI Systems," unpublished reference note (references/Chapter 9 - Safety, Ethics, and Compliance/05-Privacy-Data-Protection.md), Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam supplementary materials, 2026. unpublished note