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CNCF Warns Kubernetes Alone Is Not Enough to Secure LLM Workloads

CNCF Warns Kubernetes Alone Is Not Enough to Secure LLM Workloads

A new blog from the Cloud Native Computing Foundation highlights a critical gap in how organizations are deploying large language models (LLMs) on Kubernetes: while Kubernetes excels at orchestrating and isolating workloads, it does not inherently understand or control the behavior of AI systems, creating a fundamentally different and more complex threat model.

By Craig Risi

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CNCF Warns Kubernetes Alone Is Not Enough to Secure LLM Workloads