How can organisations verify AI agents before they transact?

What organisations should verify before an AI agent can transact

An AI agent should not be allowed to pay, order, approve, or commit anything until its principal, credentials, and scope are known and checked. The practical question is not whether the agent can act, but whether the organisation can prove which actor it represents, what authority it has, and whether the request matches that authority.

That verification step is where control moves from “an agent made a request” to “a specific, governed principal is authorised for this transaction.” Without that shift, transaction approval becomes indistinguishable from delegated access with no reliable boundary.

In practice, the strongest pattern is to treat each transaction as an authentication plus authorisation event, not as a generic API call. That means checking the agent’s workload identity, signing key, token validity, and the policy attached to the requested action before the downstream system accepts the order or payment.

What makes agent verification different from ordinary login controls

Agent verification has to account for delegation, not just login. A human may trigger the agent, but the agent may hold its own credentials, act through a service account, or inherit a bounded delegation chain, so the system must validate both the agent as an acting entity and the scope of authority it carries.

This is why short-lived tokens, mutual authentication, and request signing matter. They reduce the chance that a copied secret, replayed request, or borrowed session can be reused to authorise a transaction outside the intended context.

Verification also needs to be transaction-specific. An agent that may draft an order, query inventory, or prepare a payment request is not automatically trusted to complete the transaction unless the policy engine confirms the action, amount, destination, and business context are within the approved envelope.

How to make transaction approval trustworthy in operational terms

The control objective is to connect identity, authority, and business intent at the moment of action. That usually requires a policy layer that can evaluate the principal, the resource, the transaction type, and the current risk state before the agent is allowed to proceed.

For organisations building this capability, the useful question is whether the transaction can still be blocked when the agent is compromised, over-scoped, or misdirected. If the answer is no, the control is too weak, even if the agent has a valid credential.

• Bind each agent to a named principal or workload identity.
• Use short-lived credentials and rotate or revoke them quickly when the agent’s trust changes.
• Require cryptographic request signing or mutual authentication for high-value actions.
• Enforce per-action policy checks for payment, procurement, account change, or other sensitive transactions.
• Add approval gates when the agent crosses a risk threshold, new destination, unusual amount, or unfamiliar context.

Where available, pair those checks with Know Your Agent (KYA) Guide so the identity, operator, keys, and authority behind the agent are verified together rather than in isolation.

Risk and Threat Considerations

The main risk is delegated authority being treated as if it were inherently safe. If an agent’s credentials, signing keys, or approval context are stolen or manipulated, an attacker may be able to trigger legitimate-looking transactions that appear normal to downstream systems.

Failure mechanism: The organisation trusts a valid technical credential without confirming that the principal, scope, and transaction context still match the intended business authority, allowing replay, misuse, or overprivileged action.

Impact: The result can be unauthorised payments, fraudulent orders, silent account changes, or a wider compromise if the same agent identity also reaches other systems or sensitive workflows.

Practitioner Guidance

What to verify: Confirm that the agent identity, signing material, and authorised actions are all tied to the same owner and control boundary. If any one of those can drift independently, treat the transaction path as incomplete.

Decision rule: If the agent can move money, create commitments, or change entitlements, require transaction-level approval or step-up control rather than relying on a standing trust relationship. For lower-risk read-only or draft-only actions, tighter automation may be acceptable.

What good looks like: A verifier can answer, for any transaction, who the agent is, who owns it, what it is allowed to do, and why the specific request passed policy at that moment.

Practitioner takeaway: Verification is strongest when it proves both identity and delegated authority at action time, not when it merely confirms that an agent once logged in.

Related resources from NHI Mgmt Group

• AI Agents
• Why do AI agents create more risk when they reuse existing credentials?
• When is it crucial to implement least-privilege access for AI agents?
• What is the difference between managed identities and hardcoded secrets for AI agents?