Compliance Ownership

Compliance ownership establishes clear accountability for AI governance by designating specific individuals or teams responsible for monitoring adherence to regulations, policies, and standards. This role is critical in enterprise environments because it ensures regulatory requirements are not overlooked and provides a single point of escalation when governance gaps emerge. Without defined ownership, compliance responsibilities become fragmented across departments, increasing the risk of violations and creating confusion about who must act when problems arise.

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ResearchGlobal2026-09-16

Accountability Gap in AI Agent Governance: Who Owns the Gateway?

NHIMG has published practitioner guidance arguing that accountability for AI agent risk should attach to the gateway between agent and tool, not to a job title. The guidance identifies three unresolved ownership questions: who enforces controls, who approves exceptions, and who produces evidence that controls are active in production. Compliance teams with agent governance policies on paper but no named functional owners are the primary audience.

NHIMG agentic AI MCP accountability agent governance runtime controls compliance ownership