machine learning
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Predictive Coding in Microsoft Purview eDiscovery Premium: AI-Powered Document Review
Learn how predictive coding in Microsoft Purview eDiscovery Premium uses AI to reduce document review from thousands to the most relevant subset. Step-by-step guide to training the model, setting relevance thresholds, and measuring review efficiency. Written by Reza Rafati.
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Automating Compliance Workflows with AI in Microsoft Purview: From 500 Alerts to 20 That Matter
Learn how to use AI in Microsoft Purview to automate compliance workflows. Reduce alert fatigue with intelligent triage, auto-labeling, and adaptive risk scoring so your team reviews only what matters. Written by Reza Rafati with real deployment metrics.
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Adaptive Protection vs Static Thresholds in Microsoft Purview: When to Use Each
A practical comparison of adaptive protection and static thresholds in Microsoft Purview Insider Risk Management. Learn when each approach works best, how to run them side by side, and how to avoid the 30-day cold start problem. Written by Reza Rafati.
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AI-Powered Compliance: How Machine Learning Protects Your Data in Microsoft Purview
Discover how Microsoft Purview uses AI and machine learning to classify documents, detect insider risks, flag policy violations in messages, and automatically apply sensitivity labels. Written by Reza Rafati with real-world deployment experience.
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How to Build and Use Trainable Classifiers in Microsoft Purview
Learn how to create trainable classifiers in Microsoft Purview to identify resumes, contracts, source code, and other document types that sensitive info types miss. Step-by-step guide to seeding, training, testing, and deploying classifiers for auto-labeling.