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§ I · Domain DAT · Control 1 of 13
Control
DAT-01
Edition
v.1.3
Status
Public review

DAT · Data Protection & Privacy

DAT-01Data classification scheme

A data classification scheme is applied to all data accessible to the agent. The agent's authorization is constrained by classification.

All data the agent may encounter is classified according to a documented scheme, typically public, internal, confidential, restricted, and the agent's authorization is constrained by classification. The agent cannot access data at a classification level above its authorization, and classification boundaries are enforced at the retrieval and prompt layers.

Table DAT-01.1 · 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.

Classification scheme is documented and applied to all data sources accessible to the agent; agent authorization levels are mapped to classification tiers; enforcement is tested as part of pre-deployment evaluation.

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

    Classification scheme is documented and applied to all data sources accessible to the agent.

  2. E.2

    Agent authorization levels are mapped to classification tiers.

  3. E.3

    Enforcement is tested as part of pre-deployment evaluation.

Table DAT-01.2 · Framework mappings

5 of 7 frameworks carry a control-level reference
NIST AI RMFMAP 2.3NIST 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)CC6.1, C1.1AICPA Trust Services Criteria for SOC 2 Type II
EU AI ActArt. 10(2)EU AI Act · Regulation (EU) 2024/1689
MITRE ATLAS·MITRE ATLAS · Adversarial Threat Landscape for AI Systems
SingaporeMAIGF 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-01 Data classification scheme. Public review edition, July 2026. https://humanintel.net/standard/dat/dat-01

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

https://humanintel.net/standard/dat/dat-01

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.