1. Understand the Purview Security and Governance System
Map the Purview Landscape and Its Security Boundaries Translate Licensing, Roles, and Governance into an Operating Model
2. Discover, Map, and Curate the Data Estate
Design Data Map Scanning and Metadata Collection Build Unified Catalog, Lineage, Quality, and Data Products
3. Classify and Protect Information
Engineer Sensitive Information Types and Classifiers Design Sensitivity Labels, Publishing, and Auto-Labeling
4. Prevent Unsafe Data Movement
Design DLP Policies from Business Scenarios Extend DLP to Endpoints, Browsers, Teams, and AI
5. Govern the Information Lifecycle
Design Retention Policies and Labels Operate Records, Events, Disposition, and Legal Holds
6. Investigate and Preserve Evidence
Use Purview Audit as Evidence Run eDiscovery Cases, Holds, Searches, and Reviews
7. Manage Human, Communication, and Compliance Risk
Operate Insider Risk and Communication Compliance Responsibly Use Information Barriers and Compliance Manager as Governed Controls
8. Protect Privacy, SharePoint, Microsoft 365, and AI
Secure SharePoint and Microsoft 365 Collaboration Paths Govern Microsoft 365 Copilot and Other Generative AI Protect Privacy and Support Data-Subject Workflows
9. Integrate, Report, and Operate Purview
Integrate Scanners, APIs, Reporting, and Multi-Cloud Sources Run Purview as a Production Security Service Turn DSPM Findings into Data Security Investigations
10. Design and Prove a Complete Purview Program
Build the Purview Target Architecture and Roadmap Capstone: Prove the Security Layer End to End
8. Protect Privacy, SharePoint, Microsoft 365, and AI

Protect Privacy and Support Data-Subject Workflows

Govern the personal information processed by Purview itself and build authorized, traceable workflows for locating and acting on data-subject information.

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In this lesson, you will learn to:

  • Design a privacy-aware Purview workflow with a defined purpose, lawful authority, least-privilege review, defensible search, action tracking, and evidence retention.

Protect Privacy and Support Data-Subject Workflows

This lesson explains how privacy purpose, minimization, access, retention, regional requirements, and data-subject workflows apply to Purview evidence and Microsoft 365 content.

Purview evidence can be sensitive personal information

Purview can process emails, files, chats, audit events, alerts, labels, investigation material, and AI interactions. These records may reveal employee behavior, health information, legal advice, customer details, location, performance, or unpolished reasoning. A security purpose does not remove the need for privacy governance.

Define the purpose before collecting or exposing content. Record the approved population, data fields, reviewer roles, geographic and employment constraints, retention period, onward sharing, and deletion or closure rule. Prefer metadata when it answers the question; expose content only to reviewers with a defined need. Use role separation, pseudonymization where supported, audit reviewer activity, and periodically recertify access.

Treat exports as a new copy with its own security and lifecycle. An eDiscovery export placed in an open project folder can defeat careful case permissions. Investigation evidence should inherit classification, access, retention, and incident requirements appropriate to its sensitivity.

A data-subject request is a controlled search and decision process

A data-subject request can require the organization to find, review, export, correct, restrict, or delete personal information under applicable law and policy. Purview search and eDiscovery capabilities can help locate Microsoft 365 content, but the company must define identity verification, authority, scope, exemptions, legal holds, third-party information, response deadlines, and the final action.

Begin with verified subject identifiers and known aliases. Translate the request into systems, custodians, date ranges, data types, and search concepts. Test queries against known material, document unsupported locations, deduplicate carefully, and route potentially privileged or third-party content to authorized review. A search result is a candidate set, not an automatic disclosure package.

Maintain a request ledger containing intake, identity verification, legal basis, searches, sources, reviewers, decisions, redactions, exports, corrections or deletions, exceptions, communications, and closure evidence. Reconcile actions across source systems. If retention or a legal hold prevents deletion, record the authority and communicate the bounded outcome rather than silently overriding preservation.

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