AI Governance

Inventory AI systems, manage risk and policies, and record governance evidence.

AI governance connects an organization's AI inventory with ownership, policies, risk assessment, and review evidence. This collection focuses on that management layer. Evaluation tools measure how a system behaves; governance tools help decide what is permitted, who is responsible, and how decisions are documented. Some platforms also provide runtime security or monitoring. Compare the governance workflow itself, including intake, approval, policy mapping, and the evidence available for an audit.

Compare by workflow

  • System inventory
  • Policy controls
  • Audit evidence
  • Actions and integrations

Shortlist by use case

Tools and the workflows they support
ToolConsider it for
Credo AIAI governance and risk workflows
Holistic AIAI governance and assurance
ModelOpEnterprise AI governance operations
Fiddler AIMonitoring and governance for enterprise agents
Noma SecurityAgent inventory and security governance

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How to choose

  • Test the full intake and review process for one AI system, including accountable owners.
  • Check how policies connect to risk assessments, approvals, and ongoing monitoring.
  • Verify the evidence and export formats your reviewers need, rather than assuming a platform guarantees compliance.

Frequently asked questions

How does governance differ from LLM evaluation?
Evaluation measures system behavior. Governance manages ownership, policies, risk decisions, and supporting evidence.
Does a governance platform guarantee compliance?
No. It supports processes and evidence. Compliance still depends on the system, requirements, decisions, and actual operation.

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Curated by Michał Śnieżyński. Website may contain affiliate links.