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§ I · Domain DAT · Control 9 of 13
Control
DAT-09
Edition
v.1.3
Status
Public review

DAT · Data Protection & Privacy

DAT-09Consent for AI processing

Consent for AI processing is captured from end users and customers where required by law or contract.

Where law or contract requires consent for AI processing, consent is captured from end users and customers before the agent processes their data. Consent records are tracked per data subject and respected at the prompt and retrieval layers: an agent cannot process data for a subject who has not consented or who has withdrawn consent.

Table DAT-09.1 · Maturity criteria · v.1.3

L1 to L5 · the lowest level in scope caps the agent
L1Ad hoc

Controls exist informally; documentation is incomplete; no consistent review.

L2Documented

Controls are written down; ownership is assigned; review cadence is defined.

L3Operated

Controls are followed in practice; evidence is collected; deviations are tracked.

Consent capture mechanisms are operational; consent records are tracked per data subject; consent withdrawal is honored in real time at the prompt and retrieval layers; compliance is audited.

L4Measured

Control effectiveness is measured against documented thresholds; trends are reported.

L5Continuously Improved

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

  1. E.1

    Consent capture mechanisms are operational.

  2. E.2

    Consent records are tracked per data subject.

  3. E.3

    Consent withdrawal is honored in real time at the prompt and retrieval layers.

  4. E.4

    Compliance is audited.

Table DAT-09.2 · Framework mappings

4 of 7 frameworks carry a control-level reference
NIST AI RMF·NIST AI Risk Management Framework 1.0
ISO/IEC 42001A.7.3ISO/IEC 42001:2023 · Artificial intelligence management system
OWASP LLM Top 10·OWASP Top 10 for Large Language Model Applications
SOC 2 (TSC)P1.1, P2.1AICPA Trust Services Criteria for SOC 2 Type II
EU AI ActArt. 10(5)EU AI Act · Regulation (EU) 2024/1689
MITRE ATLAS·MITRE ATLAS · Adversarial Threat Landscape for AI Systems
SingaporePDPA s.13, PDPA s.14, MAIGF Data, AI Verify Data GovernanceSingapore Model AI Governance Framework / AI Verify / PDPA

Mappings 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-09 Consent for AI processing. Public review edition, July 2026. https://humanintel.net/standard/dat/dat-09

Edition v.1.3 · July 2026 · Public review · Markdown · PDF

https://humanintel.net/standard/dat/dat-09

Notice

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.