This ebook outlines practical use cases for protecting data in AI-driven environments. It covers scenarios such as AI visibility, embedded AI, public AI tools, internally developed AI, and compliance requirements. A key message is that visibility is foundational—organizations must understand where AI is being used and what data it interacts with. The guide highlights risks like shadow AI, data leakage, and lack of oversight, noting that much AI activity remains invisible to security teams. It also shows how solutions like AI Guardian help by discovering AI systems, tracking usage, and classifying sensitive data. Overall, it provides actionable guidance for securing AI initiatives while maximizing business value.

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