Implement policies, access controls, lineage, and approvals to keep data compliant
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Harvest metadata, lineage, and governance to power discovery and policy enforcement
Protect sensitive data with detection, masking, policy enforcement, and auditable flows
Add profiling, testing, SLAs, and alerting to keep data trustworthy end to end
Common questions about ai data governance architecture generator
Use tags and attributes to drive masking, row filters, and access decisions. Version and test policies.
Centralize authN/authZ, use RBAC/ABAC, and enforce least privilege. Log all access events.
Provide request/approval workflows with SLAs and audit trails. Auto-provision temporary access where possible.
Maintain lineage, access logs, and policy evaluations. Generate attestation reports for audits.
Push policies to warehouses, lakes, and BI tools via adapters. Keep a single source of truth.
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