Securing Enterprise and Browser-Based AI Apps with Purview

As organizations rapidly adopt generative AI, securing sensitive corporate data from accidental exposure in browser-based AI tools and enterprise applications has become a critical priority. Safeguarding this information requires robust data security and compliance strategies tailored for the AI era. This text-based course guides you through the foundational concepts and practical strategies needed to secure AI applications using Purview. You will understand how to discover AI usage, protect sensitive data from being shared with public AI models, and enforce compliance policies. What you'll learn: - Understand the security risks associated with enterprise and browser-based generative AI tools - Configure Purview data loss prevention policies to block sensitive data sharing - Discover and monitor AI application usage across your organization's network - Apply sensitivity labels to automatically classify and protect intellectual property - Enforce compliance and retention policies specifically designed for AI interactions - Practice identifying vulnerabilities in common browser-based AI workflows The course begins with essential terminology, basic concepts, and foundational definitions before guiding you through step-by-step written explanations for configuring security policies. You will then apply these concepts to practical, scenario-based exercises designed to test your defensive setups. This course is designed for beginners in IT security, compliance officers, and system administrators looking to secure AI workflows. No prior experience with Purview is required. Start reading today to establish a secure and compliant environment for AI adoption in your organization.