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Cybersecurity
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Microsoft Learn

Identify and Mitigate AI Data Security Risks

  • up to 1 hour
  • Intermediate

This course provides a comprehensive understanding of AI data security risks and how to mitigate them using Microsoft Purview DSPM. Learn to configure security policies, monitor AI interactions, and apply data protection measures to safeguard your organization's data.

  • AI Data Security
  • Microsoft Purview DSPM
  • Security Policy Configuration
  • AI Interaction Monitoring
  • Data Assessment and Analysis

Overview

In this course, you will explore the purpose and benefits of Microsoft Purview DSPM for AI, learning to set up and configure it to monitor AI interactions effectively. Gain insights into identifying and analyzing AI security risks, running data assessments, and applying security policies to protect AI-referenced data. This course is designed to equip you with the skills needed to manage AI data security and compliance effectively.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Self-paced
    course format
  • Pre-recorded classes
    delivered online

Who is this course for?

IT Professionals

Individuals responsible for managing and securing organizational data.

Data Security Analysts

Professionals focused on protecting data and ensuring compliance with security policies.

AI Specialists

Experts working with AI tools who need to understand data security implications.

Enhance your skills in AI data security with this course, designed for IT professionals and data security analysts. Learn to configure and apply security policies, monitor AI interactions, and protect sensitive data, helping you advance your career in data security.

Pre-Requisites

1 / 3

  • Familiarity with Microsoft 365 services

  • Basic understanding of AI tools like Microsoft 365 Copilot

  • Knowledge of security and compliance concepts, such as data loss prevention (DLP) and sensitivity labels

What will you learn?

Introduction
Understand AI security risks and the importance of managing them effectively.
Data Security Posture Management (DSPM) for AI Overview
Learn about DSPM for AI and its role in monitoring AI activity and enforcing security policies.
Configure DSPM for AI
Set up and configure DSPM for AI to monitor AI interactions and apply security controls.
Apply AI Security Recommendations with DSPM for AI
Implement security recommendations to protect AI-referenced data using DSPM.
Review AI Security Reports
Analyze AI security reports to identify and mitigate potential risks.
Use Data Assessments (Preview) to Detect Oversharing Risks
Run data assessments to detect and address oversharing risks in AI data.
Module Assessment
Assess your understanding of the module content through a series of questions.
Summary
Recap the key points and learning outcomes from the module.

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