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Stop APP Scams While The Payment is Still in Flight

Detect authorised push payment fraud using real-time mobile scam signals. Add situational mobile insights at the moment of transfer to spot scam patterns earlier and protect customers with less friction. APP losses have been material in the UK, with £257.5 million reported lost to APP scams in the first half of 2025

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Built to prevent losses without harming customer experience

Detect coercion, not just anomalies
When a customer is being coached, the context around the transaction can be more revealing than the transaction alone

Reduce unnecessary friction
Use stronger interventions only when scam signals suggest elevated risk, keeping genuine customers moving

Improve operational outcomes
Prioritise the right cases for intervention and review, reducing wasted effort and speeding up response where it matters

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Proven approach with measurable impact

Mobile network insights, used alongside your existing fraud controls, have been shown to reduce APP fraud rates by up to 25%. What you can detect with scam signals:

Whether the customer is on a call at the time of the transaction
Whether the call is inbound or outbound
How long the call has lasted

These insights help teams detect suspicious patterns consistent with APP scams before funds are sent or settled

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Who this is built for

Designed for organisations where payment trust is critical, including:

Banks and building societies
Payment service providers and fintechs
Organisations running high-risk payment flows
Fraud operations teams managing APP disputes and reimbursement exposure

Fraudsters exploit gaps in transaction security

Authorised Push Payment fraud relies on social engineering, often creating urgency or impersonating a trusted organisation to convince victims to send money willingly. That makes APP scams harder to detect than technical account takeover, because the user is actively participating

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1. A high-risk transaction is initiated

Payments, payee changes, first-time beneficiaries, unusually large transfers or rapid repeat activity

2. Scam signals are assessed in real time

Situational insights can indicate whether the customer is currently on a call, the call direction and call duration to help identify patterns consistent with social engineering scams

3. You decide the safest next step

Allow the transaction, present an in-app warning, trigger step-up authentication, hold for review or route to a specialist queue

Case study

APP Fraud Landing Page Case Study

Providing a real-time customer liveness check that allows you to check which mobile numbers are no longer active

Rread case study >

Common Questions

A social engineering scam where the victim is deceived into authorising a real-time payment to a fraudster

Because the customer authorises the transfer, so the transaction can look legitimate to many traditional controls.

No. It adds an additional layer of context that strengthens decisioning alongside your current rules, behavioural signals and payment controls.

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