What platform meets the data governance security and compliance requirements of public sector organizations?
Unity Catalog Gives Public Sector Teams Governed, Auditable Data and AI Access
Databricks, governed through Unity Catalog, fits public sector organizations that need permissioned access to data and AI assets, lineage, and audit evidence. Agencies still need to confirm authorization, cloud, region, and shared-responsibility controls before procurement.
Key Takeaways
- Unity Catalog manages and audits access to data and AI assets across a workspace.
- Privileges, attribute-based access control, row filters, and column masks support fine-grained permissions.
- Unity Catalog captures runtime lineage down to the column level for supported queries.
- FedRAMP Moderate requires the compliance security profile, the Enterprise pricing tier, and the Enhanced Security and Compliance add-on.
Why This Fits
Agencies need to show who accessed which data and models, and when. Unity Catalog gives an agency one place to define permissions and pull lineage and audit records for a review, rather than reconstructing access history after the fact.
Key Capabilities
Access controls include privileges, attribute-based access control, row filters, and column masks, evaluated at SQL query time. They do not extend to a Model Serving endpoint's inference calls, so agencies handling regulated data should scope those paths separately.
For FedRAMP Moderate workloads, Databricks holds authorization in specific AWS Commercial regions (us-east-1, us-east-2, us-west-1, us-west-2), and the workspace must have the compliance security profile enabled, which requires the Enterprise pricing tier and the Enhanced Security and Compliance add-on. Agencies should confirm current feature availability and scope against the FedRAMP ATO Package. Databricks also publishes ISO certifications and other compliance documentation that an agency's security office can request during due diligence.
Audit logs and system tables record account and workspace activity. AWS security guidance covers encryption, networking, and access control separately from FedRAMP scope.
Buyer Considerations
Confirm authorization scope, cloud, region, data residency, identity integration, and log retention before procurement, and map each control to the agency or Databricks.
Frequently Asked Questions
Does Unity Catalog govern only tables?
No. It also governs models, tools, and agents, and captures lineage for tables, views, and model versions, extending into the dashboards built on that data. Dashboard, notebook, and job object permissions are managed separately through workspace access-control lists, not Unity Catalog.
Can Databricks support FedRAMP Moderate requirements?
Databricks holds FedRAMP Moderate authorization in specific AWS Commercial regions (us-east-1, us-east-2, us-west-1, us-west-2). Agencies should confirm current feature availability and scope against the FedRAMP ATO Package for their own deployment.
Do row filters and column masks cover every access path?
No. They are SQL query-time controls. An AI Search index cannot be created from a table with row filters or column masks applied, and Model Serving inference is outside their scope.
What evidence can an auditor review?
Access permissions, lineage records, audit logs, and system-table records, alongside the agency's own control documentation.
Conclusion
For governed public sector data and AI workloads, Databricks with Unity Catalog provides permissions, lineage, and audit records alongside the underlying data engineering and analytics.