Trainable Classifiers in Microsoft Purview | Custom Data Classification Explained

Unlock the power of custom trainable classifiers in Microsoft Purview to elevate your organization's data protection strategy!

In this step-by-step tutorial, we’ll walk you through:

✅ What a trainable classifier is and how it works
✅ When and why you should use custom classifiers instead of manual or pattern-based detection
✅ How to train a classifier using real and non-relevant example files
✅ A practical example: Automatically identifying “Vendor Contracts”
✅ Key tips, best practices, and limitations (like English-only support and retraining constraints)

Whether you're an IT admin, security professional, or part of the compliance team, this video will help you understand how to automate sensitive content classification tailored to your organization.

Chapters and Timestamps:
00:00 – Introduction to Trainable Classifiers
00:21 – What is Classification in Microsoft Purview?
00:56 – Types of Classification in Microsoft Purview
01:24 – Manual Classification Explained
01:56 – Automated Pattern Matching Overview
02:44 – Sensitive Information Types (SITs) Example
03:12 – The Smartest Method: Trainable Classifiers
03:28 – Pre-trained Classifiers by Microsoft
04:10 – Custom Trainable Classifier Overview
04:40 – Real-life Example: Vendor Contracts
05:16 – Step-by-Step: Implementing a Trainable Classifier
05:30 – Navigating to Classifiers in Purview
06:00 – Exploring Built-in Classifiers
06:55 – Creating a Custom Trainable Classifier
07:28 – Adding Positive Content (Seed/Reference Content)
08:12 – Creating the Classifier
08:43 – Testing the Classifier with Content
09:39 – Reviewing Detected Items and Giving Feedback
10:36 – Re-training the Classifier Based on Feedback
11:00 – Publishing the Classifier
11:14 – Exploring Detected Content via Content Explorer
11:50 – Verifying Source Code Classification Results
12:00 – Applying Labels with Trainable Classifier
12:33 – Defining Scope and Protection Settings
13:00 – Auto-labeling Setup Using Trainable Classifier
13:41 – Defining Label Messages and External Sharing Rules
14:11 – Publishing the Sensitivity Label
14:43 – Targeting Users or Groups
15:01 – Policy Settings for Labels
15:17 – Submitting and Finalizing Policy
15:22 – Final Summary and Thank You
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