Purview DSPM: Identifying and Managing AI Data Risks

As organizations rapidly adopt AI assistants and generative AI tools, securing sensitive data has become a critical priority. Understanding how data flows into AI applications and preventing accidental exposure is essential for modern data protection. This course equips you with the foundational knowledge to detect, assess, and mitigate data security risks associated with AI usage. You will learn to leverage Purview Data Security Posture Management (DSPM) to gain visibility into AI interactions, secure shared resources, and implement proactive data defense strategies. What you'll learn: - Understand foundational AI data risk concepts and security terminology. - Configure Purview Data Security Posture Management (DSPM) for AI environments. - Analyze data overexposure risks within SharePoint and shared repositories. - Identify security vulnerabilities in Copilot and external AI application interactions. - Apply Zero Trust principles and sensitivity labels to protect data used by AI. - Evaluate data security alerts and generate actionable posture reports. You will start by mastering core data security and AI governance concepts before moving on to practical configurations of Purview DSPM. Through clear written explanations and realistic scenarios, you will learn how to audit AI interactions and secure overexposed files. This course is designed for beginners in data security, IT administration, or compliance, requiring no prior experience with security posture management tools. Begin reading today to secure your organization's data in the age of AI.