Out-of-the-box classifiers in Microsoft Purview are built for general use-not for the unique data patterns found in real organisations. The result is often false positives, missed sensitive data, and a lack of trust in security controls.
This technical deep dive explores how to engineer high-accuracy classification models using custom sensitive information types, Exact Data Match (EDM), and trainable classifiers. We’ll cover design principles, testing strategies, threshold tuning, and governance practices that materially improve classification reliability.
Attendees will leave with practical techniques to make classification reflect how their organisation actually stores and uses data.

Solutions Covered:
Microsoft Purview Information Protection data classifiers and explorers