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.
What is an example of AI Agent Governance?
A bank permits a service agent to read customer records but not change an address or issue a refund without human approval. The policy is enforced by the runtime, and each access, proposed action, approval, and final result is written to the audit trail.
How is AI Agent Governance different from related concepts?
AI governance is the organization-wide system for managing AI risk. AI agent governance applies those rules to autonomous, multi-step software that can access data and take actions.
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.
What should enterprises evaluate for AI Agent Governance?
- Require per-agent identity, least-privilege access, versioned policies, and separation between builders and approvers.
- Evaluate agents before release and continuously after release using task, safety, security, and policy tests.
- Make traces searchable and exportable, with retention controls that match the sensitivity of prompts and outputs.
Read the full guide: AI Agent Governance — in-depth article →
Related terms
Authoritative sources
Primary sources for the formal meaning, requirements, or original research behind AI Agent Governance:
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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