This whitepaper presents a structured approach to securing AI systems through a data-centric lens. It introduces an AI security lifecycle that includes discovery, access governance, monitoring, real-time protection, and remediation. The paper emphasizes that organizations must first understand their AI assets, data usage, and access patterns before implementing controls. Cyera AI Guardian provides visibility into AI interactions, enforces policies to prevent sensitive data exposure, and enables runtime protection against threats. By integrating governance and enforcement into AI workflows, organizations can securely scale AI adoption while minimizing risks associated with data misuse and unauthorized access.

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