DAT · Data Protection & Privacy
DAT-05Right-to-deletion procedures
Right-to-deletion procedures apply to agent memory, vector embeddings, and any derived data, with evidence of execution on request.
Subject deletion requests (right to erasure) can be fulfilled across all agent-related data stores, including agent memory, vector embeddings, conversation logs, and derived data, within statutory windows. Evidence of execution is retained. The procedure covers not just structured databases but also the increasingly complex data stores used by modern agent architectures.
Table DAT-05.1 · Maturity criteria · v.1.3
L1 to L5 · the lowest level in scope caps the agentControls exist informally; documentation is incomplete; no consistent review.
Controls are written down; ownership is assigned; review cadence is defined.
Controls are followed in practice; evidence is collected; deviations are tracked.
Deletion procedures are documented and cover all agent data stores; at least one deletion request has been processed end-to-end or the procedure has been tested; evidence of execution is retained.
Control effectiveness is measured against documented thresholds; trends are reported.
Controls evolve based on incident learning; maturity gains are evidenced over time.
The v1.3 edition publishes a control-specific criterion at L3 (Operated). The other levels apply the general ladder to this control; see the maturity ladder.
Evidence an assessor asks for
- E.1
Deletion procedures are documented and cover all agent data stores.
- E.2
At least one deletion request has been processed end-to-end or the procedure has been tested.
- E.3
Evidence of execution is retained.
Table DAT-05.2 · Framework mappings
5 of 7 frameworks carry a control-level referenceMappings are directional: meeting this control evidences but does not by itself satisfy the external requirement. A middle dot means no control-level reference is published at this edition; see the crosswalk.
Cite this control
Human Intelligence. HI-AAF v1.3, DAT-05 Right-to-deletion procedures. Public review edition, July 2026. https://humanintel.net/standard/dat/dat-05
Edition v.1.3 · July 2026 · Public review · Markdown · PDF
https://humanintel.net/standard/dat/dat-05
HI-AAF v1.3 is an independent framework published by Human Intelligence. It is not affiliated with NIST, ISO, AICPA, or any government or accreditation body. The framework is offered openly for review during the current draft cycle.