This ebook explains how organizations can secure AI systems by managing their overall security posture across the full AI lifecycle. It highlights key challenges such as lack of visibility, shadow AI, data leakage, and vulnerabilities across AI pipelines, emphasizing that traditional security approaches are not enough. AI-SPM is introduced as a solution that provides continuous monitoring, attack path analysis, and contextual risk prioritization. The guide also covers governance, integrating security into development workflows, and enabling collaboration between security and engineering teams. It introduces key concepts like AI-BOM, DSPM for AI data, and malicious model detection, showing that effective AI security requires visibility, automation, and proactive risk management.

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