Agentic AI Reference Architecture

Governance & Compliance · Software component

Data Retention Enforcer

Software componentGovernance & ComplianceSafety, Security & Governancearc:DataRetentionEnforcer

A scheduled governance job that deletes personal data past its retention period and records an auditable deletion event for each completed deletion.

Responsibility. Automatically deletes personal data whose retention period has expired.

Also known as: Automated deletion routine, Data deletion job

emits telemetry toemits telemetry towritesis audited bywritesreadsis configured byis configured byAlert Manager: emits telemetry toAlert ManagerAudit Log Store: emits telemetry toAudit Log StoreTrace Store: writesTrace StoreContinuous Compliance Monitor: is audited byContinuous Compliance Mo…Personal Data Store: writesPersonal Data StorePersonal Data Retention Policy: readsPersonal Data Retention …Telemetry Retention Policy: is configured byTelemetry Retention PolicyRetention Policy: is configured byRetention Policy
Direct neighbourhood (hover for relationship types)

Relationships

is configured by structural

reads dependency

writes dependency

emits telemetry to dynamic

is audited by assurance

Design guidance

Quantitative guidance

As stated by the sources; verify before use.

Classification

Patterns
Storage limitation
Quality attributes
Transparency and accountability (NIST AI RMF: accountable and transparent)
Risks mitigated
Data retention violations
Frameworks & regulations
GDPR Art. 5(1)(e)GDPRISO 27701

Sources

  1. 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.
  2. Ref9.05: "Privacy and Data Protection for AI Systems," unpublished reference note (references/Chapter 9 - Safety, Ethics, and Compliance/05-Privacy-Data-Protection.md), Mastering Agentic AI Systems: Guide for the NVIDIA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 unpublished note
  3. Ref9.06: "Auditing and Compliance Monitoring for AI Systems," unpublished reference note (references/Chapter 9 - Safety, Ethics, and Compliance/06-Auditing-Compliance-Monitoring.md), Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam supplementary materials, 2026. unpublished note
  4. Ref10.05: "The Data Flywheel: Continuous Improvement Loop," unpublished reference note (05-Data-Flywheel-Continuous-Improvement.md), Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam supplementary materials, 2026. unpublished note