DAT · Data Protection & Privacy
DAT-07Data residency requirements
Data residency requirements are honored, including geographic constraints on inference, storage, and logging.
Cross-border data transfers are governed by documented mechanisms appropriate to applicable law. Data residency requirements, geographic constraints on where inference occurs, where data is stored, and where logs are retained, are honored and enforceable. For agents using cloud-based model providers, the data residency of the provider's inference infrastructure is documented.
Table DAT-07.1 · 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.
Data residency requirements are documented per agent and data class; residency is enforced by infrastructure configuration; compliance is verified by audit or automated monitoring.
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
Data residency requirements are documented per agent and data class.
- E.2
Residency is enforced by infrastructure configuration.
- E.3
Compliance is verified by audit or automated monitoring.
Table DAT-07.2 · Framework mappings
4 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.
Related controls and terms
Cite this control
Human Intelligence. HI-AAF v1.3, DAT-07 Data residency requirements. Public review edition, July 2026. https://humanintel.net/standard/dat/dat-07
Edition v.1.3 · July 2026 · Public review · Markdown · PDF
https://humanintel.net/standard/dat/dat-07
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.