AI Agent Governance
The policies, permissions, logs, and approvals that make enterprise agents accountable.
What is AI Agent Governance?
AI agent governance covers who can build agents, which tools they can call, which models are approved, what knowledge they can read, and how every execution is recorded. Without it, agent rollout becomes opaque and unauditable. The AI Agent Governance pillar describes the platform controls VDF AI uses to make agents reviewable end-to-end.
Why it matters for on-premise & regulated AI
Governance is only as strong as your ability to enforce it at runtime. In cloud-only platforms, policy enforcement and audit logging run on infrastructure you do not control; on-premises, the governance plane itself — policies, approvals, immutable logs — lives inside your boundary and can be inspected by internal audit or a regulator directly. EU AI Act and DORA reviews increasingly ask for exactly this kind of first-party evidence.
Read the full guide: AI Agent Governance — in-depth article →
Related terms
Putting AI Agent Governance to work?
VDF AI runs governed AI agents on your own infrastructure — on-premises, sovereign cloud, or air-gapped. Book a working session to map the architecture.
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