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AI Data Governance Control Matrix — 48 structured controls for AI data governance: sensitivity classification, data integrity, lineage tracking, access authorization, quality validation, and DataGovernanceAttestation. No login required.
0 of 48 rated · Score: — · 0 at target
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Data scope: governs the data AI systems exchange, store, and learn from — classification, integrity, management, lineage, access, and validation. Adjacent domains: Privacy (personal-data rights and DPIA obligations), Knowledge (retrieval corpora and knowledge provenance), Model (training-data evaluation gates).
How to read a control card
IDLayer prefix + number — open any card for the full control.
Universal · FrontierThe capability tier the control applies to.
N fwHow many regulatory frameworks it maps to.
●●●○○ · labelMaturity — dots show what the field has typically reached; a label (e.g. “enforced”) is this control’s target.
A baseline control — applies to every agent.
⊕ Assessment Summary