What is the difference between verifying a user and verifying an agent in commerce?

Why This Matters for Security Teams

In commerce, user verification and agent verification solve different problems. A user check answers whether the human initiating a purchase, refund, booking, or support action is legitimate. An agent check answers whether an autonomous or semi-autonomous actor can safely present claims, invoke tools, and complete delegated steps on that user’s behalf. That distinction matters because attackers now target the delegation layer, not just the login screen.

For security teams, the risk is that a well-authenticated customer can still trigger an unsafe agent action if the merchant treats agent activity like ordinary user traffic. Current guidance from the OWASP Agentic AI Top 10 and NIST AI risk guidance points toward runtime control, not one-time trust decisions. NHI Management Group research shows that only 20% of organisations have formal processes for offboarding and revoking API keys, which is exactly the kind of operational gap that makes delegated commerce flows fragile.

The practical issue is that agents chain actions, re-use credentials, and act in ways a human reviewer may never anticipate. In practice, many security teams encounter abusive agent behaviour only after a refund, coupon, or wallet abuse event has already occurred, rather than through intentional design.

How It Works in Practice

Verification for a user usually starts with identity proofing, MFA, session validation, and fraud controls. Verification for an agent starts one layer later: proving what the agent is, what it is allowed to do, and under what context the merchant should trust its claims. That is why agent identity is increasingly treated as a workload identity problem, not just an authentication problem. Standards such as NIST AI Risk Management Framework and the CSA MAESTRO agentic AI threat modeling framework both point toward runtime governance where authority is scoped and continuously evaluated.

In a commerce workflow, a merchant may validate the customer’s session, then issue a delegated token or capability to an agent for a bounded task such as changing shipping, applying a promotion, or confirming inventory. That token should be short-lived, task-specific, and revocable. This is where just-in-time provisioning matters: the agent should receive only the minimum claims required for that transaction, not a broad standing credential. Where possible, teams should prefer workload identity and cryptographic attestation over static API keys, because the merchant needs proof of what the agent is at the moment of action, not a trust assumption from hours ago.

• Verify the human for account ownership and intent.
• Verify the agent for workload identity, delegation scope, and runtime claims.
• Evaluate policy at request time, not only at onboarding.
• Bind credentials to a narrow task, short TTL, and clear revocation path.

NHIMG’s Ultimate Guide to NHIs notes that 97% of NHIs carry excessive privileges, which illustrates why agent verification must constrain delegation rather than simply confirm that an actor exists. These controls tend to break down when commerce platforms reuse long-lived service tokens across many agent workflows because the original intent and current action no longer match.

Common Variations and Edge Cases

Tighter agent verification often increases transaction friction, requiring organisations to balance customer convenience against fraud resistance and operational overhead. That tradeoff is most visible in commerce flows that need instant fulfilment, customer service automation, or cross-border payment orchestration.

There is no universal standard for this yet, but current guidance suggests three recurring patterns. First, simple scripted assistants may only need limited delegation and strong session binding to the user. Second, higher-risk agents that can refund, reship, or modify payment details should use stronger runtime authorization, often with policy-as-code and human approval gates for exceptional actions. Third, multi-agent systems may need verification of each agent in the chain, because trust in the first agent does not automatically extend to the downstream tool caller.

Practitioners should also distinguish between authenticating an agent to the platform and authorizing its commerce actions. A valid token does not mean a valid refund, discount, or address change. That is why NIST AI Risk Management Framework and the OWASP NHI Top 10 are useful references: both reinforce that authority should be contextual, limited, and continuously checked. In commerce environments with legacy gateways, shared service accounts, or static partner integrations, this guidance often breaks down because the platform cannot distinguish a legitimate delegated action from a replayed or over-broad agent request.

Related resources from NHI Mgmt Group

• What is the difference between human identity governance and AI agent governance?
• What is the difference between governing human access and governing AI agent access?
• What is the difference between managed identities and hardcoded secrets for AI agents?
• What is the difference between workload identity and API keys for AI agents?