As AI unlocks data for everyone – technical and non-technical users, as well as AI agents – the number of data access requests is exploding. Data is no longer the purview of SQL experts or BI analysts. Now, anyone in your organization can ask questions of data. That puts even more demand on data governance teams to work quickly and responsibly.
That’s where Immuta AI’s Review Assist comes in.
What is Review Assist?
Immuta’s Review Assist uses historical access approval and denial decisions — based on user attributes, metadata, and responses to request forms — to make intelligent recommendations about whether to approve, deny, or temporarily approve a request.
Review Assist helps alleviate data stewards‘ workloads by:
- Suggesting approvals or denials based on prior decisions
- Providing AI-generated justifications
- Streamlining reviews with consistent, explainable decisions
- Accelerating access without additional overhead or complexity
Traditional access management tools were built for apps, not data. Apps have a handful of access levels. Data has thousands of permutations: different users, different tables, columns, and rows.
Combine that with the flood of AI-enabled data consumers, and manual reviews simply don’t scale. Review Assist changes the game by automating and simplifying decision-making, so governance teams can stay ahead without burning out.
Learn more in our Review Assist blog, and hear about it from Immuta Co-founder and CTO Steve Touw here: