How to cut Purview alert fatigue and close the AI gap

Microsoft Purview in a busy tenant hands you two problems. It flags a lot, thousands of DLP and audit alerts a day with no built-in way to rank them, and it cannot see the AI your people now move data through. Here is how to fix both without pulling Purview out.

First, keep Purview. It is doing its job.

Purview is good at what it was built for: classifying and labeling sensitive data inside Microsoft 365, and enforcing compliance on it. The trouble is not its coverage of files. It is two other things. The first is volume, since every policy match becomes an alert and a busy tenant produces thousands a day. The second is a blind spot, because the fastest-growing path for data to leave the company now runs through AI, and that sits outside Purview’s content inspection entirely. Neither problem is a reason to replace Purview, only a reason to add a layer on top of it.

Put your Purview alerts through an investigation layer

Instead of working every alert by hand across the Purview portal, Entra, and Defender, feed them into an agent that investigates each one in context. The moment you connect Microsoft 365, Anzenna ingests your Purview alerts, no separate connector and no re-tagging. Each alert becomes a trigger. The agent pulls the surrounding context, the identity, the data, the destination, and the person’s HR and departure status, then assembles a finished case. The benign majority closes on its own, and only the few that need a person are escalated, already worked up with the evidence attached.

Cover the AI channels Purview can’t see

A DLP match tells you a labeled file crossed a boundary. It does not tell you that source code was pasted into a browser AI tab, that a coding agent reached a credential and pushed to a personal repo, or that an agent moved files through an unsanctioned MCP server. Those are the channels data actually leaves through now. Anzenna discovers every AI tool, agent, and MCP server across the fleet without an agent to deploy, audits what each one does at the prompt level, and classifies and blocks sensitive data at the point it moves, in the browser and the IDE.

Tie every action to who’s driving it

This is the seam that neither side of your stack closes on its own. AI security tools see the agent but miss the person behind it. Identity tools see the person but miss what their AI is doing. You need both in one timeline. Anzenna anchors every action to the identity driving it, human or non-human, and to the human who owns it, enriched with HR status and departure signals. That context is what turns a normal-looking export by a departing employee into what it actually is.

Remediate through the stack you already run

When something is confirmed, the response should route through the tools already in place, not a new console. Anzenna revokes the OAuth grant, blocks the MCP destination, resets the session, and pulls back the share through Microsoft Defender and Intune, Entra ID, and, for multi-vendor stacks, Okta and CrowdStrike. There is no second agent to deploy. Setup is agentless and takes about 15 minutes, and Purview keeps doing its content inspection and compliance work underneath.

Purview alone, and Purview with the layer on top

The point is not to trade one tool for another. Purview stays exactly where it is, doing the classification and compliance work it is good at. What you add is the AI visibility it was never built for and an investigation layer that turns the alert flood into a queue your team can actually work.