Data provisioning used to be fragmented. Data consumers searched catalogs and filed tickets. Approvers chased context across emails and systems. Observers and compliance teams stitched together logs after the fact.
Immuta is changing that.
As data demands surge and AI becomes a daily collaborator, organizations can no longer rely on manual workflows to deliver governed access. Data provisioning, the process of securely delivering the right data to the right people, systems, or AI agents, has to evolve.
Immuta is building the data provisioning workflow engine for the enterprise, a connected system that automates governed data access from request to recertification and meets every persona where they already work.
It’s about meeting every persona where they work, streamlining the flow from discovery to access to oversight, and doing it securely, at the speed of business.
As organizations scale and AI expands the universe of data consumers, this kind of automation and workflow integration is no longer optional; it’s essential.
With this month’s updates, that vision starts becoming reality.
For years, data catalogs like Alation, Atlan, Collibra, Snowflake Horizon, and Databricks Unity Catalog have helped teams find and understand data, but the journey stopped there. The last mile of access still required tickets and waiting.
Immuta’s new catalog integrations close that gap. Now, users can discover data, understand the policies that protect it, and request governed access directly from their catalog. Behind the scenes, Immuta automatically triggers the approval and provisioning workflows.
Users can even request policy exceptions, such as unmasking a column, right from within the catalog, with Immuta handling the entire exception process end-to-end.
For data consumers, this means frictionless access. For governance teams, it means oversight without slowing down the business.
Approvers and stewards shouldn’t have to leave their daily collaboration tools to manage data access.
With Immuta’s Slack integration, data requests, approvals, and notifications happen in real time — right where teams already communicate. Consumers receive instant alerts when access is approved or is about to expire. Stewards can approve requests or handle exceptions with one click.
This integration eliminates ticket queues, reduces response times, and maintains transparent governance.
The result: governance that moves as fast as your business.
In modern enterprises, granting access exceptions, like unmasking specific data, has historically meant juggling hundreds or thousands of overlapping masking policies.
Immuta’s new Reveal Policies change that. They decouple data protection from access granting, allowing governance teams to enforce a single global rule while enabling domain teams to grant precise, auditable exceptions as needed.
This delivers scalable, federated governance — global control, local autonomy, and a cleaner, more efficient way to handle exceptions without creating policy sprawl.
For compliance and security teams — the observers in the provisioning workflow — understanding how data is used is critical.
Immuta’s enhanced Databricks Unity Catalog audit provides unified, trustworthy visibility into data access across Databricks environments. By merging system tables for query history and column lineage, Immuta delivers a complete, enriched view of data activity, including sensitivity and policy context.
This upgrade enables more accurate compliance reporting, faster recertification, and lays the foundation for future automation, such as AI-assisted usage analysis and anomaly detection.
Every update this month, from catalog integrations and Slack approvals to unified audits and exception policies, is part of a larger mission: to make governed data access effortless across every workflow.
As organizations prepare for a future where both humans and AI agents act as data consumers, Immuta is building the foundation for intelligent, continuous data provisioning at enterprise scale, connecting discovery, access, and oversight into one seamless system.
In this next chapter, AI won’t just request data — it will help govern it. Agentic systems will understand policies, initiate requests, and even assist in approving or recertifying access based on context and behavior. Immuta’s platform is being designed for that reality — where automation, intelligence, and policy all work in concert.
We’re not just keeping up with the future of data. We’re building it, securely, intelligently, and for every human and AI agent that depends on it.
See all of our most recent data provisioning updates.
