In modern data environments, maintaining strict data access policies is essential — but so is enabling analysts and data consumers to get the insights they need, when they need them. Striking the right balance between data protection and agility has long been one of the biggest challenges for Chief Data Officers (CDOs) and governance teams.
That’s where Immuta’s Policy Exception Workflow comes in.
This capability allows you to start fast and govern smart. Instead of spending months defining complex, dataset-specific rules, you can apply simple global policies — for example, “mask all PII” — and then manage additional access by exception.
When a user exploring a dataset needs to see masked fields, they can request an exception directly within the data product. The request is automatically routed to the appropriate approvers, who can use Immuta’s AI-powered Review Assist to evaluate context and risk — all without writing code, manually updating policies, or relying on technical gatekeepers.
The result is a fast, transparent, and compliant workflow that accelerates data access while maintaining strong governance.
For CDOs, the Policy Exception Workflow delivers both agility and assurance. It eliminates the dependency on endless access tickets, manual role creation, and IT intervention to manage who can see what. All access and exception handling happens seamlessly within Immuta — with full auditability and policy enforcement built in.
This gives data leaders a measurable, automated process for how policy exceptions are requested, reviewed, and approved — providing new visibility into where risk decisions occur across the organization.
By separating global policy enforcement from localized exceptions, CDOs can scale governance without scaling bureaucracy. Business users gain governed self-service access, while leaders maintain complete traceability and compliance confidence.
In this model, governance becomes a strategic accelerator rather than a bottleneck.
For data governance teams and stewards, Immuta transforms governance from a manual, meeting-heavy process into a streamlined, decision-driven workflow.
Today, many governance teams spend hours processing tickets, managing permissions, or convening meetings just to decide whether a data consumer should see a particular column. With Immuta, those requests are handled in-line and in context — right where the data lives.
Data consumers can independently request policy changes or exceptions, and governors or stewards can approve, deny, or modify those requests in just a few clicks, using recommendations from Review Assist.
No waiting on IT. No role engineering. No side meetings.
This model makes governance scalable and meeting-free — turning what used to be weeks of back-and-forth into a simple, auditable decision flow. It gives stewards the freedom to focus on strategy and policy design, not operational firefighting.
The result is a governance process that’s faster, cleaner, and more human — one that empowers both data producers and consumers to move quickly and safely within clear boundaries.
The Policy Exception Workflow is more than an operational improvement — it’s the foundation for agentic governance, Immuta’s next-generation vision for intelligent, adaptive data control.
Each exception request helps Immuta learn how your organization balances risk, compliance, and business value. Over time, this data enables Immuta to model your enterprise’s unique risk tolerance and governance behavior.
As AI agents begin to request and combine data autonomously, Immuta’s agentic governors will interact directly with them — evaluating, approving, or denying access based on each organization’s learned policies and risk posture.
There’s no one-size-fits-all governance. Every enterprise needs a governance model that reflects its own culture, regulations, and risk acceptance — and Immuta is building the intelligence to make that possible.
Watch the full demo of the Policy Exception Workflow here:
Take a closer look at all of our data provisioning updates.
