How should organisations govern agent and human authority together?

How to Govern Human and Agent Authority as One Control Surface

Authority breaks down when organisations review people and agents separately. The better model is one combined control surface: who the user is, what the agent may do, which workflow it is acting in, and which service path or delegated credential is actually executing the action. That makes privilege review, approval, and revocation based on effective access, not isolated roles.

The practical implication is that policy must look at the intersection of user entitlement, agent scope, workflow step, and execution identity. An otherwise acceptable user account can become risky if paired with a broadly trusted agent or a reusable service credential. This is where AI Agent Authorisation Guide is useful, because it frames per-action decisions, task-scoped access, and human approval as one authorisation problem rather than separate ones.

Governance also needs a clear ownership model. Human managers, platform owners, and security teams all influence the same authority path, so approvals should cover both the requester and the runtime actor. If the organisation cannot explain which principal actually exercised authority for a given business action, the control design is incomplete.

Why Combined Authority Fails When It Is Reviewed in Pieces

Splitting human and agent governance creates blind spots in least privilege. The user may have no direct permission to perform a sensitive action, yet the agent may inherit enough scope, token access, or delegated trust to do it on the user’s behalf. That is why Zero Trust for AI Agents is a strong fit: verify the principal, remove standing privilege, and enforce policy at the point of action.

The same issue appears when workflow context is ignored. A request that is safe in one workflow can be unsafe in another because the surrounding data, approvals, or downstream connectors differ. The decision should therefore be conditional on context, not merely on identity labels or static role names.

Reusable service accounts make the problem sharper. Once a shared credential can execute multiple workflows, the actual actor becomes harder to attribute, and access review becomes less meaningful. Agentic AI Security Guide supports this view by treating identity as part of the wider agent attack surface, not as a narrow login concern.

What Good Governance Looks Like in Practice

Strong governance starts with a single inventory of effective authority paths: user, agent, delegated token, connector, system account, and downstream tool access. Each path should be documented with an owner, purpose, expiry condition, and the approvals required to activate it. That lets review teams assess whether a combination of ordinary entitlements creates an exceptional privilege path.

It also helps to separate permission to request an action from permission to execute it. A human may be allowed to initiate a workflow, while the agent is only allowed to prepare, propose, or stage the action until a stricter approval gate is met. The AI Agent Observability, Audit and Incident Response Guide is relevant here because attribution, logging, and kill-switch design are what make this model reviewable after the fact.

At scale, governance should test for combinations rather than individual entitlements. A low-risk user plus a high-scope agent plus a long-lived service token can be far more dangerous than any one element alone. The right control question is whether any path lets a business action occur without a consciously reviewed authority chain.

Risk and Threat Considerations

When human and agent authority are governed separately, organisations can create hidden privilege paths, weak attribution, and excessive blast radius. The main risk is not only misuse by an agent, but unreviewed combinations of ordinary access that together can reach sensitive systems or data without a deliberate decision point.

Failure mechanism: A user initiates a workflow, the agent inherits or reuses broader scope than intended, and a shared service path executes the action with insufficient per-step checks. That produces privilege amplification, confused-deputy behaviour, and poor post-incident traceability.

Impact: Sensitive actions can be carried out without meaningful human review, access reviews become misleading, and revocation becomes harder because the organisation must unwind a chain of entitlements rather than a single account.

Practitioner Guidance

What to prioritise: Build a single decision model for effective authority, then classify every workflow by who can start it, who can approve it, and which identity actually executes it. If those three answers are different, the workflow needs explicit guardrails.

What to verify: For each high-value workflow, confirm there is no combination of user entitlement, agent scope, and service account access that permits the same action through a side route. If there is, treat it as a privilege design defect, not a configuration detail.

Common mistake: Reviewing the human account, the agent policy, and the service credential in isolation. That approach misses the real control problem, which is the combined authority chain.

Practitioner takeaway: Govern the action path, not the actor label. If the organisation cannot prove which combination of human and agent authority is required for a sensitive operation, then the control is not yet tight enough.

Related resources from NHI Mgmt Group

• How should security teams govern non-human identities at scale?
• How should security teams govern non-human identities for compliance?
• How should security teams govern non-human identities in Salesforce?
• How should security teams govern non-human identities that have persistent access?