Wire fraud profiling: what should teams change in review workflows?

TL;DR: Wire fraud controls work best when customer-initiated actions are separated from actual funds transfer, allowing behavioural profiling, manual review and outbound verification for transactions that do not fit expected patterns, according to Unit21. The governance lesson is that fraud prevention depends on interrupting the workflow before approval, not just scoring the transaction after submission.

Editorial analysis by NHI Mgmt Group, based on content published by Unit21: “How to Prevent Wire Fraud With Customer Profiling”.

Key questions

Q: How should fraud teams prevent wire fraud without blocking legitimate transfers?

A: Use a two-step workflow that separates customer request from wire release, then apply behavioural profiling to route exceptions into manual review.

Q: Why does customer profiling help detect suspicious wires?

A: Customer profiling gives investigators a baseline for normal amount, destination and frequency patterns.

Q: What breaks when wire review is fully automated?

A: Fully automated release removes the last chance to verify customer intent before funds leave the institution.

Practitioner guidance

• Implement a wire release checkpoint Separate wire submission from funds movement so anomalous transfers can be reviewed before execution, not after settlement.
• Use behavioural profiles to define review thresholds Baseline expected wire amounts, destinations and cadence by customer segment, then route exceptions to manual review.
• Create a dedicated wire fraud queue Send high-value or high-risk jurisdiction wires into a separate investigation queue with a checklist and clear ownership.

Bottom line: Wire fraud controls are strongest when a transfer request and a transfer release are not the same decision.

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