Shadow AI, Not Hallucinations, Is the Real LLMOps Risk, Says CNCF

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As large language models enter production environments, a new operational discipline called LLMOps is emerging on top of existing DevOps and MLOps workflows, often without a clear owner. CNCF's Daniel Bryant argues that LLMOps should not become a separate stack but instead be treated as a standard capability within an organisation's existing platform engineering framework. The greatest risk, according to the analysis, is teams independently building RAG pipelines and vector stores outside any platform governance — a phenomenon dubbed 'shadow AI'. Tools already available in the CNCF ecosystem, including Backstage, Crossplane, and KubeVela, can expose LLM infrastructure through the same governed, self-service interfaces used for other platform resources. The CNCF TAG App Delivery Platforms Working Group is actively developing guidance for organisations working through LLMOps ownership and governance.

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