Implement and scale data security for AI apps and agents with Microsoft Purview
Security
Cloud and AI Platform
Establish a trusted and secure platform for AI (Frontier)
AI ready productivity & security for every employee (Core)
Build a unified, governed data and AI estate (Core)
Create a competitive edge with AI (Frontier)
Run your business securely (Core)
Modernize your data to drive results and leverage AI (Core)
Advanced
Microsoft PurviewMicrosoft Purview

Implement and scale data security for AI apps and agents with Microsoft Purview

This advanced course establishes Microsoft Purview as the data security and governance foundation for enterprise AI. It covers the implementation, operation, and automation of data protection across Microsoft 365 Copilot, autonomous agents, and generative AI applications, spanning information protection, data loss prevention, insider risk, posture management, investigations, and compliance. Participants gain deep, hands-on expertise securing Copilot grounding data, remediating oversharing across the AI estate, governing shadow AI, operationalizing Data Security Posture Management, and applying Security Copilot agents to triage and investigate at scale. They also learn how to integrate Microsoft Purview controls across Microsoft Defender XDR, Microsoft Sentinel, and Microsoft Fabric.

12 hours(Suggested: 3 days, 4h/day)TechnicalProject ReadyHands-on Labs

MS Course ID: 00058

Last Updated: Jun 30, 2026

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Target Audience

Information Security Administrators, Security Architects, Compliance Engineers, AI Governance and Risk Team

Pre-requisites

SC-401 or equivalent experience

Related Certifications

SC-401

Course Syllabus

1

Engineer the Data Security foundation

Module 1:

Deploy data security at enterprise scale

120 mins
Lecture
2

Hands-on Labs

• Lab 0 - Provision the data-security foundation
• Lab 1 - Establish least-privilege compliance roles and encrypt sensitive correspondence with Office 365 Message Encryption
• Lab 2 - Detect regulated data with custom sensitive information types, keyword dictionaries, document fingerprinting, and Exact Data Match, and monitor results in Content and Activity Explorer
• Lab 3 - Classify confidential documents at scale with trainable classifiers and refine them through retraining
• Lab 4 - Protect high-value data with encrypted sensitivity labels, label groups, content marking and dynamic watermarking, auto-labeling
• Lab 5 - Prevent data exfiltration with DLP policies
120 mins
Lab
3

Secure Copilot and Agent data

Module 2:

Secure Microsoft Copilot and Generative AI Apps

Module 3:

Data Security Posture Management

120 mins
Lecture
4

Hands-on Labs

• Lab 6 - Detect and investigate risky data handling with IRM policies, analytics, alerts, and cases
• Lab 7 - Escalate data protection dynamically for high-risk users by linking Adaptive Protection with Insider Risk and DLP
• Lab 8 - Restrict regulated collaboration with Information Barriers segments, policies, and modes
• Lab 9 - Detect data leakage and misconduct with Communication Compliance policy templates and remediation workflows
• Lab 10 - Preserve, search, and export content with eDiscovery

Interactive Simulated Lab Experience

• Lab 11 - Investigate data security incidents with Data Security Investigations
120 mins
Lab
5

Operate AI-driven security at scale

Module 4:

Security Copilot and Security Copilot agents in

Microsoft Purview

Module 5:

Integrate and automate across the security estate

120 mins
Lecture
6

Hands-on Labs

• Lab 12 -Assess and improve regulatory compliance posture with Compliance Manager
• Lab 13 - Meet regulatory retention and records obligations with retention labels and policies, auto-apply policies, file plan and records management, event-based retention, disposition review, and retention precedence
• Lab 14 - Enforce sensitivity labeling on analytics data in Microsoft Fabric and Power BI
• Lab 15 - Govern data in Microsoft Fabric with information protection policies
• Lab 16 - Block external access to a Microsoft Fabric workspace with data loss prevention
• Lab 17 - Secure AI apps and agents against data exposure with Data Security Posture Management
120 mins
Lab

What You'll Learn

Understand core concepts and best practices
Hands-on experience with real-world scenarios
Learn from certified Microsoft experts
Prepare for relevant certifications
Access to lab environments
Post-training support and resources

Course Details

Duration
12 hours
Level
Advanced
Role
Technical
Readiness Stage
Project Ready
Audience Segment
Enterprise, SMB
FY27 Key Workload (Core)
Security (Defender, Purview, Sentinel), Security for Business Premium (Defender, Purview)
Course Stage
Available
Hands-on Labs
Yes
Labs Platform
Skillable, StepUp
ESI Course Code
DW-300

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