Securing AI Data Interactions with Purview

As artificial intelligence reshapes how we work, it also introduces complex data security challenges and new risks for sensitive information exposure. Understanding how to govern and protect data within these evolving AI landscapes is crucial for any organization. This course will equip you with the essential knowledge and practical understanding to implement robust data security measures for AI interactions, ensuring compliance and mitigating potential risks as you integrate AI into your operations. What you'll learn: Understand core concepts of data governance and security in AI environments. Apply Purview capabilities to classify and protect sensitive data used by AI applications. Configure data loss prevention (DLP) policies specifically for AI-driven data flows. Identify and mitigate data exposure risks associated with AI interactions and third-party AI services. Practice implementing data compliance strategies for AI-enabled systems and platforms. Learn principles of responsible AI pertaining to data handling and privacy. The course begins with foundational concepts of data security and AI, then systematically explores how to apply Purview's features for data classification, protection, and compliance within AI environments. You will progress through understanding risks to implementing practical mitigation strategies. This course is designed for beginners in data security, IT professionals, and anyone interested in understanding how to secure data in AI environments. No prior experience with AI security or Purview is required. Start your journey to becoming proficient in securing AI data interactions today.