Immuta

Immuta provisions data in real time with full control across a data ecosystem, and its current positioning treats AI agents as first-class participants rather than as an exception. The vendor's argument is that agents are now primary data consumers and must be governed as such, allowing them fast access without abandoning the controls applied to human users.

Policy applied at query time rather than by copying is the technical approach that distinguishes this category. Creating a masked copy for each team produces copies that diverge and multiply, while enforcing a policy as the query runs means one dataset serves everybody with different rows and columns visible to each.

Treating agents as governable participants is a genuinely current problem rather than a marketing frame. An agent acting for a user should see what that user may see, and an agent acting autonomously needs its own identity and limits, and neither works if access control assumes a person at a keyboard.

Speed is the constraint that makes this hard. Policy evaluated on every query sits in the path of every analytical workload, so the interesting engineering question is what it costs in latency at the volumes an organisation actually runs.