Microsoft Purview for AI Workloads: Expert Governance in 2026

The governance conversation nobody wants to have — until the AI is already live I have had this conversation more times than I can count. An organization deploys Microsoft 365 Copilot to a pilot group of enthusiastic early adopters. The feedback is overwhelmingly positive. Leadership accelerates the rollout. Three weeks later, someone in Finance discovers that a junior employee used Copilot to summarize a SharePoint document that contained salary bands for senior management — a file that had been sitting in an overpermissioned site for years, invisible to humans because finding it required knowing where to look. !The governance conversation nobody wants to have — until the AI is already live — Microsoft Purview for AI Workloads: Data Governance in the Copilot Era AI doesn't require knowing where to look. That's the point. And that's the problem. The threat model changes fundamentally when you deploy AI into your data estate. A human employee navigating SharePoint can browse a few dozen files per hour. An AI assistant semantically scans millions of documents in seconds, synthesizes information across sources, and presents conclusions in natural language that strips away every bit of friction that previously served as informal access control. The governance approach that was adequate for a world where finding information was hard is not adequate for a world where AI makes finding information trivially easy. My recommendation is unambiguous: govern before you deploy, not after.