Securing AI Data with Purview: Governance and Compliance

As organizations rapidly adopt artificial intelligence, securing the sensitive data that feeds these models has become a critical priority. Protecting intellectual property and preventing data leaks in AI systems requires a modern approach to governance.\n\nThis text-based course guides you through the foundational principles of securing AI data using Purview. You will learn how to identify data risks, implement strict classification labels, and ensure compliance without hindering innovation.\n\nWhat you'll learn:\n- Understand the core security risks associated with artificial intelligence and large language models\n- Configure sensitivity labels in Purview to protect intellectual property from unauthorized AI training\n- Establish data loss prevention policies specifically tailored for AI interactions and prompts\n- Monitor and audit AI data access using zero-trust security principles\n- Implement modern data governance frameworks to manage shadow AI usage across your organization\n\nStarting with essential terminology and the foundational concepts of AI data risks, the course guides you step-by-step through configuring Purview policies and establishing robust compliance protocols. You will work through realistic scenarios and written exercises to solidify your security skills.\n\nThis course is designed for beginners, IT administrators, and security professionals who are new to AI governance, requiring no prior experience with Purview.\n\nStart reading today to safeguard your organization's data in the era of AI.