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Governance, Ownership & Risk

Who should own fraud governance in a delivery platform?

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By NHI Mgmt Group Editorial Team Updated June 10, 2026 Domain: Governance, Ownership & Risk

Fraud governance should sit across security, product, payments, and operations because the abuse surface spans identity, transaction logic, and fulfilment. If one team owns only part of the journey, the platform usually ends up with gaps between detection, investigation, and customer experience.

Why This Matters for Security Teams

Fraud governance in a delivery platform is not just a payments problem or a customer support problem. The abuse path usually spans account creation, promo redemptions, address manipulation, delivery status changes, refund workflows, and partner or driver interactions. That means ownership has to match the risk surface, not the org chart. NIST’s Cybersecurity Framework 2.0 is useful here because it reinforces governance as a coordinated function, not a siloed control.

For delivery platforms, fraud signals often arrive late, after the transaction has already cleared or the order has already been fulfilled. NHIMG’s Top 10 NHI Issues shows how quickly weak identity controls turn into operational abuse when credentials, automation, and monitoring are not aligned. The same pattern applies to fraud governance: if one team owns the rule engine, another owns the investigation queue, and a third owns customer remediation, gaps appear between detection and response. In practice, many security teams discover fraud ownership failures only after chargebacks, refund abuse, or courier-account compromise have already become routine.

How It Works in Practice

The strongest operating model is shared ownership with clear decision rights. Security should own the control framework, threat modelling, and escalation standards. Product should own the customer journey and the policy choices that affect friction, approval thresholds, and user experience. Payments should own transaction integrity, disputes, and settlement risk. Operations should own fulfilment exceptions, courier and merchant workflows, and frontline response.

That division works only if it is backed by a single fraud governance cadence. Current guidance suggests setting one review forum for policy changes, one incident taxonomy, and one set of metrics across the full order lifecycle. NHIMG’s Regulatory and Audit Perspectives section is relevant because auditability matters when teams need to explain why an order was blocked, refunded, or manually released. The operating model should also define who can tune rules, who approves exceptions, and who owns customer harm decisions.

A practical structure usually includes:

  • a fraud steering group with product, security, payments, and operations representation;
  • a shared case management process that preserves evidence across channels;
  • runtime monitoring for account takeover, promo abuse, refund loops, and delivery manipulation;
  • clear escalation paths for manual review, merchant disputes, and law enforcement requests;
  • policy-as-code or rule management with change control and rollback.

NIST CSF 2.0 helps teams translate this into governance, detection, response, and recovery outcomes. The model works best when all four functions see the same fraud events and act on the same thresholds. These controls tend to break down when delivery platforms have separate systems for checkout, fulfilment, and refunds because the fraud pattern crosses boundaries faster than the teams can coordinate.

Common Variations and Edge Cases

Tighter fraud governance often increases review overhead and can slow legitimate orders, so organisations have to balance customer experience against abuse reduction. That tradeoff is especially visible in high-growth delivery platforms where false positives can directly reduce conversion or driver availability.

There is no universal standard for this yet, but best practice is evolving toward domain ownership plus central oversight. Smaller platforms may place day-to-day ownership in payments or trust and safety, with security acting as the control authority. Larger platforms usually need a formal fraud program office because the issue touches identity, platform abuse, financial loss, and brand trust at once. NHIMG’s Lifecycle Processes for Managing NHIs is useful here because the same governance discipline applies to automated agents, service accounts, and fraud tooling that execute decisions on the platform’s behalf.

The edge cases are where ownership gets messy: marketplace deliveries with third-party couriers, cross-border payments, wallet credits, family accounts, and promotional campaigns run by marketing. Those scenarios need pre-agreed rules for who can override a block, who owns reimbursement, and when fraud prevention must defer to safety or legal obligations.

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.OV-01Fraud governance needs cross-functional oversight and clear accountability.
OWASP Non-Human Identity Top 10NHI-01Delivery fraud often involves automated identities and weak control boundaries.
NIST AI RMFGOVERNFraud tooling and decision automation need documented accountability and oversight.

Assign one governance owner to review fraud risk, metrics, and exceptions across teams.

NHIMG Editorial Note
Reviewed and updated by the NHIMG editorial team on June 10, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org