This ebook provides a practical introduction to AI data security, explaining why traditional security approaches are not enough for AI-driven environments. It emphasizes that data is the foundation of AI and must be secured throughout its lifecycle—from discovery and classification to governance, protection, monitoring, and assurance. The book explores key risks such as shadow AI, prompt injection, data leakage, and supply chain vulnerabilities, while also outlining a structured security journey. Organizations must adopt visibility, enforce governance, implement controls, and continuously monitor AI systems. By securing data first, businesses can safely adopt AI, reduce risk, and build trust while enabling innovation.

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