The Databricks AI Security Framework (DASF) provides a lifecycle-based approach to securing AI systems, covering data, models, infrastructure, and governance. It identifies threats like data poisoning, model theft, and prompt injection, offering controls such as access management, secure data pipelines, continuous monitoring, and incident response. The framework aligns with NIST, ISO, and the EU AI Act to ensure regulatory readiness. By embedding security across development and deployment, DASF helps organizations manage risk, protect intellectual property, and maintain trust. It positions AI security not as an add-on but as an integral part of responsible AI adoption.

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