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Governance, Ownership & Risk

Who should be accountable for approval fraud controls?

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By NHI Mgmt Group Editorial Team Updated June 22, 2026 Domain: Governance, Ownership & Risk

Treasury, finance operations, and identity security should share accountability, because the control spans transaction policy, identity assurance, and audit evidence. The business owner must define thresholds and exception handling, while IAM or security teams ensure the verification ceremony and logs are reliable.

Why This Matters for Security Teams

Approval fraud controls sit at the intersection of payment authorization, identity proofing, and auditability, so accountability cannot belong to one team alone. Treasury and finance operations define what “valid” looks like in business terms, while identity security and IAM teams make sure the verification path, logging, and access enforcement are trustworthy. That division maps well to the NIST NIST Cybersecurity Framework 2.0, where governance, protection, and detection are shared outcomes rather than siloed tasks.

This matters because approval fraud usually exploits weak handoffs: a spoofed approver, a rushed exception, a reused session, or a control that exists on paper but not in the actual workflow. NHIMG’s Ultimate Guide to NHIs — Standards notes that 80% of identity breaches involved compromised non-human identities such as service accounts and API keys, which is a reminder that approval processes are only as strong as the identities behind them. In practice, many security teams encounter approval fraud only after a payment exception, vendor change, or privileged workflow abuse has already occurred, rather than through intentional control testing.

How It Works in Practice

Clear accountability starts with separating policy ownership from control operation. The business owner, usually in treasury or finance operations, should own the threshold logic, approval matrix, exception criteria, and materiality rules. Identity security or IAM should own the authentication ceremony, privileged access path, session controls, and evidence integrity. Security operations or GRC often validate that the process is operating as designed, but they should not be the sole owner of the business rule.

In a mature setup, approval fraud controls rely on more than one checkpoint:

  • Role and authority mapping for approvers, including backup delegates and escalation rules.
  • Strong identity verification for high-risk approvals, ideally with step-up controls for unusual amounts or destinations.
  • Immutable logs that record who approved, from where, when, and under what context.
  • Exception handling that requires documented rationale and post-approval review.
  • Periodic sampling or continuous monitoring to detect bypasses, stale entitlements, and out-of-band approvals.

For organisations handling machine-to-machine payment or finance workflows, the identity question extends to non-human actors as well. The control should be anchored in workload identity, short-lived credentials, and policy enforced at request time, not just in static RBAC. Current guidance suggests that this is better aligned with Zero Trust than with perimeter-style trust assumptions, especially where automation can submit, route, or approve requests at speed. The broader NHI governance model in the Ultimate Guide to NHIs emphasizes lifecycle visibility and revocation discipline, both of which support trustworthy approval trails.

These controls tend to break down when approval paths are embedded in legacy ERP or ticketing systems that cannot reliably bind the approver’s identity to the transaction context.

Common Variations and Edge Cases

Tighter approval fraud controls often increase workflow friction, requiring organisations to balance fraud resistance against business speed and exception volume. That tradeoff is especially visible in urgent payments, cross-border transfers, and shared-service environments where approvals happen across time zones and business units.

There is no universal standard for this yet, but current guidance suggests three common variations. First, for low-value or routine approvals, finance may own the policy while IAM provides standard controls and audit logging. Second, for high-value or high-risk approvals, treasury and security may co-sign the control design, with internal audit testing the evidence trail. Third, in automated or agent-assisted workflows, the accountable owner must also define how non-human identities are authenticated and constrained, because the approval may be triggered by software rather than a person.

One practical rule is to assign one business owner and one technical control owner. That avoids the common failure mode where finance assumes security is checking identities, while security assumes finance is validating business legitimacy. Shared accountability works only when each team has a named decision surface and a testable control objective. Without that clarity, approval fraud controls drift into checklist compliance instead of operational defence.

Standards & Framework Alignment

This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.

OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST CSF 2.0 and NIST AI RMF set the governance and control requirements practitioners need to meet.

FrameworkControl / ReferenceRelevance
NIST CSF 2.0GV.1Governance is needed to assign shared ownership for approval fraud controls.
OWASP Non-Human Identity Top 10NHI-04Approval workflows depend on trustworthy non-human identities and audit trails.
NIST AI RMFGOVERNShared accountability mirrors AI governance needs for roles, oversight, and traceability.

Define business and security owners, then test control accountability through your governance process.

NHIMG Editorial Note
Reviewed and updated by the NHIMG editorial team on June 22, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org