What should teams do first when agent governance is still immature?

Why inventory comes before policy when agent governance is immature

The first job is to make the estate visible enough to govern. A maintained inventory gives teams a factual baseline for every agent, who owns it, why it exists, what credentials it uses, and what systems it can reach. That baseline is what turns governance from a policy statement into something you can actually approve, review, revoke, and measure.

Without that record, teams end up arguing about unknown scope instead of reducing it. A good inventory also exposes where an agent is operating outside its intended purpose, where ownership is unclear, and where access decisions have drifted beyond the original approval.

That is why a registry matters before more advanced controls. NHIMG’s AI agent registry approach fits this stage because the practical challenge is not optimization, it is establishing an authoritative list that can support later control decisions.

What the first inventory must capture to be useful

A useful first-pass inventory should capture at least four things for every agent: the human accountable owner, the agent’s purpose, the credentials or tokens it uses, and the systems, APIs, data stores, or workflows it can reach. Those fields are enough to support the earliest governance decisions, even if the organisation has not yet standardised risk tiers, autonomy levels, or formal review cadence.

The purpose field is especially important because it tells reviewers whether the agent is still doing the job it was created for. Ownership is equally important because revocation and exception handling fail when no one is accountable for the agent’s continued access.

Teams that are moving from chaos to control often benefit from an explicit governance model for those fields, such as NHIMG’s Identity Governance for AI Agents Guide, which frames ownership, lifecycle management, access review, and offboarding as connected tasks rather than separate exercises.

How the inventory changes the next control decisions

Once the inventory exists, teams can make the next governance decisions in the right order. First comes revocation of anything ownerless, duplicate, or clearly out of scope. Then comes scope reduction for agents whose access is broader than their purpose justifies. Only after that should teams push into routine approval workflows, recertification, and more formal policy enforcement.

That sequence matters because approval without inventory creates false confidence. If you cannot see the full set of agents and their access paths, you cannot reliably tell whether a reviewer approved the right thing or only a partial picture.

Practitioners often use this stage to move from ad hoc lists to a maintained operating model. NHIMG’s Agent Governance and Risk Guide is relevant here because it connects inventory, ownership, autonomy, and risk tiers into a single governance path.

Risk and Threat Considerations

Immature agent governance creates a visibility problem that quickly becomes an access problem. If teams do not know which agents exist, who owns them, or which credentials are still active, dormant access and overbroad permissions can persist long after the original business need has passed. That increases the blast radius of both configuration mistakes and compromise.

Failure mechanism: Untracked agents retain credentials or permissions after their purpose has changed, so scope reduction and revocation are delayed or missed entirely.

Impact: Unauthorized actions, lateral movement, data exposure, and accountability gaps become more likely, especially when multiple teams assume someone else owns the approval or offboarding step.

Practitioner Guidance

What to prioritise: Start with a live, owned inventory before you attempt maturity scoring, policy automation, or autonomy expansion. If the inventory cannot answer who owns the agent, what it is for, and what it can touch, the governance process is not yet ready for deeper controls.

What to verify: For each entry, confirm that the listed owner can actually approve changes, that the credentials are known and recoverable, and that the reachable systems match the agent’s current business purpose. Treat any mismatch as a control gap, not a documentation issue.

Practitioner takeaway: The first governance milestone is not a perfect policy, it is an authoritative register that makes revocation, review, and scope reduction possible without guesswork.

Related resources from NHI Mgmt Group

• Why is single-provider AI agent governance not enough for enterprise security?
• Should organisations prioritise external exposure or internal credential governance first?
• What makes agentic AI an NHI governance issue?
• What is the difference between attack surface management and NHI governance?