Mule Detection at the Receive Side: The Receiving Bank's Real-Time Defence Playbook

Most fraud-prevention investment over the last decade has been at the sending bank. Reimbursement reform has shifted that calculus. With the receiving bank now sharing liability for APP-style scams across the UK, EU and an expanding set of Asia-Pacific markets, mule detection at the receive side is becoming a strategic capability rather than a back-office check.

The institutions that build it well will see fewer cases, better customer outcomes and lower exposure. Those that don't will absorb the cost of mule networks they could have detected in the seconds the funds first arrived in their estate.

The Receiving Bank Sees a Different Picture

When a scam payment lands, the receiving institution has signals the sender does not. The recently-opened account, the velocity of inbound credits, the inconsistency between the customer's stated occupation and the size of the deposits, and the rapid downstream onward-movement of funds all live on the receive side and almost nowhere else.

Used together, those signals form a strong prior even before the sending bank flags a dispute. The challenge is that most banks read these features in isolation — KYC at onboarding, transaction monitoring at the line, manual review at the back — and have not stitched them into a real-time mule risk score that fires while the funds are still recoverable.

Real-Time Doesn't Mean Real Fast — It Means Right Place

The instinct in many institutions is to push for sub-second decisioning. That is the right ambition for the payment authorisation itself, but mule detection benefits more from being placed at the right point in the customer journey than from raw latency. A 30-second hold on a suspicious onward outbound payment, applied with confidence, recovers more funds than a millisecond decision applied with low conviction.

That requires a decisioning architecture that can act not only on the inbound credit but on the next outbound debit, and that can pull the right context — account tenure, recent activity, KYC anomalies — into the decision in the seconds available. Many institutions discover that this rewires their fraud platform more deeply than they expected.

Cross-Bank Signals Are the Force Multiplier

Mule networks are not loyal to one institution. The richest signal a receiving bank can have is a credible, low-latency indicator from the sender that a particular payment is being treated as suspicious — and a pathway back from receiver to sender for confirmed mule outcomes. Schemes for this are now operational in several markets, but participation is uneven, and the latency between sender flag and receiver action is still measured in hours at many institutions.

Closing that latency is one of the highest-leverage investments a receiving bank can make in 2026. It changes the unit economics of every mule case the institution would otherwise have to absorb, and it strengthens the bank's position when regulators ask what concrete steps it has taken to limit its part in the chain.

What a Mature Receive-Side Programme Looks Like

Three capabilities define a mature programme. A unified mule risk model that draws on KYC, transaction and behavioural signals in real time. A decisioning fabric that can hold or reject onward payments with operational confidence. And a participation strategy in cross-bank intelligence schemes that turns external signals into local actions in seconds, not hours.

Behind all three sits a culture point. Receive-side fraud has historically been treated as someone else's problem. The new economics of reimbursement make it everyone's problem, and the institutions that internalise that fact early will measurably reduce the total cost of mule networks across the system.

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About TrustSphere.AI

TrustSphere.AI partners with tier-1 banks, fintechs, payment providers and regulators to convert emerging financial crime intelligence into operational defences. Our advisory and technology teams work alongside fraud, AML, cyber and compliance functions to design and deploy controls that hold up under regulatory scrutiny and real-world threat conditions.

If your institution is rethinking its approach to the trends discussed above, we would welcome the conversation. Visit www.trustsphere.ai or contact our team to arrange a briefing.