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§ I · Domain DAT · Control 3 of 13
Control
DAT-03
Edition
v.1.3
Status
Public review

DAT · Data Protection & Privacy

DAT-03PII handling at runtime

PII handling is enforced at runtime per policy: detection, classification, redaction, or blocking as defined for each agent and context.

Personally identifiable information is detected in inputs and outputs through documented techniques and handled per the organization's data classification policy: detection, classification, redaction, or blocking depending on the agent's authorization and the context. PII that should not be retained is redacted from logs, memory, and any downstream artifact.

Table DAT-03.1 · 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.

PII detection is active on all input and output paths; handling rules are documented per context; detection accuracy is measured; PII is verified absent from logs and artifacts where retention is not justified.

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

    PII detection is active on all input and output paths.

  2. E.2

    Handling rules are documented per context.

  3. E.3

    Detection accuracy is measured.

  4. E.4

    PII is verified absent from logs and artifacts where retention is not justified.

Table DAT-03.2 · 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)P3.1, P4.1AICPA 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
SingaporePDPA s.24, 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.

Related controls and terms

Cite this control

Human Intelligence. HI-AAF v1.3, DAT-03 PII handling at runtime. Public review edition, July 2026. https://humanintel.net/standard/dat/dat-03

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

https://humanintel.net/standard/dat/dat-03

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.