LLM Governance

LLM governance refers to the frameworks, policies, and controls organizations implement to oversee the deployment and use of large language models across their operations. This encompasses risk management, responsible AI practices, access controls, and compliance with regulatory requirements specific to generative AI systems. LLM governance is critical for enterprises because these models present unique risks including hallucinations, data leakage, bias, and potential misuse, requiring specialized oversight distinct from traditional AI governance approaches.

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StandardsGlobal2026-09-17

AI Governance Tooling Market Grows, But Procurement Controls Lag Behind

CSO Online has surveyed 16 commercial platforms designed to help enterprises govern, secure, and audit large language models and AI agents in production. Tools reviewed include Collibra's AI Command Center, Credo AI's policy packs, and F5/CalypsoAI's inference-layer defenses. The survey highlights growing vendor claims around multi-framework compliance alignment, but compliance teams have no established standard for evaluating whether those claims hold up.

Collibra Credo AI CalypsoAI AI governance tooling vendor due diligence compliance procurement LLM governance EU AI Act