AI Agent Governance

AI agent governance refers to the frameworks, policies, and oversight mechanisms that manage autonomous or semi-autonomous AI systems performing tasks with minimal human intervention. This domain addresses critical compliance concerns including accountability for agent decisions, transparency in multi-step operations, and the ability to audit and control agent behavior across organizational systems. For enterprises deploying AI agents in customer service, data processing, or decision-making roles, robust governance ensures these systems remain aligned with regulatory requirements and organizational risk tolerances.

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Corporate PolicyGlobal2026-07-28

Hush Security's $30M Series A Puts NHI Credential Governance and Agent Registries on the Enterprise Compliance Agenda

Tel Aviv-based Hush Security has closed a $30 million Series A round, bringing total funding to $41 million, to expand its machine access platform for AI agent governance. The platform registers AI agents in a central registry, enforces just-in-time scoped permissions at runtime, and maintains a full audit trail for each agent interaction. The raise signals growing market pressure on enterprise compliance teams to implement formal non-human identity controls as agentic deployments scale.

Hush Security agentic AI non-human identity AI agent governance access control just-in-time permissions agent registry vendor risk