This article focuses on security measures for GenAI workloads running in containers. It advocates for a lifecycle approach to security using tools and practices that cover deployment, orchestration, and monitoring. This is crucial as AI applications proliferate in major industries across multiple countries, enhancing vulnerability to attacks.

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