This book introduces the fundamentals of securing AI systems, showing how AI expands traditional security risks while introducing new ones like prompt injection, data poisoning, and model manipulation. It explains that AI pipelines require visibility across data, models, and deployment environments, especially to address shadow AI—unsanctioned usage outside security oversight. The concept of AI Security Posture Management (AI-SPM) is presented as a framework for continuously monitoring risks, identifying attack paths, and enforcing governance across AI systems. The key takeaway is that organizations need dedicated, end-to-end security strategies for AI to safely enable innovation while managing complex and evolving threats.

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