Data Governance enforces policy, lineage, access controls, and audit trails across every data asset and every AI agent — from a single governance plane that spans your entire federated estate.
Without governed data governance, these problems compound silently with every new data source and AI deployment.
Quality rules don't reflect regulatory requirements. Governance policies can't verify whether the data they govern meets the standards they define.
Assets across federated sources, cloud platforms, and legacy systems are invisible without a governed catalog — ungoverned by default.
Per-system governance rules drift apart. The enterprise has no single view of who has access to what across the federated estate.
Auto-classify every data asset — sensitivity, domain, owner, retention requirements
Apply access rules — RBAC and ABAC enforced at query time for every identity
PII auto-detected and masked by role before any consumer receives data
Full lineage from source through every transformation and agent consumption
Immutable log of every access, policy application, and governance event
Access rules enforced at the federation layer — every query governed by the same policy regardless of which tool or agent made the request.
Trace every data point from source system through federation, governance checkpoints, and agent consumption to the final decision.
Sensitive fields detected and masked dynamically — by role, context, and consent status — across all federated sources.
Quality rules validated and scored before data reaches agents or reports — quality failures surfaced in the pipeline, not in the boardroom.
See how Data Governance works within the Tantor governed intelligence platform.
Data governance is the enforcement of policy, access control, lineage, quality, and PII protection across every data asset — from federated source to AI agent output. Tantor enforces data governance at the query layer, so every access is governed consistently regardless of which tool or agent makes the request.
Tantor applies RBAC and ABAC access rules, dynamic PII masking, and quality attestation at the moment data is queried through the federation layer. Policy-at-query means governance is enforced uniformly across all federated sources rather than configured separately per system.
Data lineage traces every data point from its source system through federation, governance checkpoints, and agent consumption to the final decision. This unbroken lineage is what lets data governance answer a regulator's question — where did this data come from, who accessed it, and how was it transformed.
Yes. Tantor's data governance treats AI agents as governed identities with scoped access, the same as human users. Every agent's data consumption is access-controlled, PII-masked, and lineage-tracked, closing the governance gap that ungoverned agent service accounts create.