This guide outlines a practical framework for integrating cybersecurity into AI systems across datacenter and cloud environments. It walks organizations through identifying AI-related risks, enforcing identity and access management, protecting model integrity, and implementing continuous monitoring. Designed for security architects and practitioners, it maps AI lifecycle stages to corresponding security measures, offering actionable steps to reduce vulnerabilities, meet regulatory requirements, and safeguard AI infrastructure throughout development and deployment.

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