Cross border payment fraud thrives on the gaps between systems, countries, and currencies, where a single transaction can cross multiple regulatory regimes in seconds. Preventing it means combining identity checks, transaction monitoring, sanctions screening, and behavioural signals into one layered defence. This guide sets out the common fraud types and the controls that counter them
Why cross-border payments attract fraud
International payments give fraudsters distance and speed. Funds can move across jurisdictions before a victim or a bank notices, and recovering them once they land abroad is hard. Faster settlement, welcome for legitimate users, also shrinks the window in which a suspicious payment can be stopped.
The scale is significant. UK Finance reported that authorised push payment fraud losses in the United Kingdom reached £576.4 million in 2025, and Deloitte has estimated that US losses from this type of scam could approach $15 billion by 2028. Cross-border flows carry a disproportionate share of the risk because oversight is split across borders.
Two forces make the problem harder. First, faster rails mean funds are often gone before a manual review would even begin. Second, criminals increasingly use the same automation defenders do, from generated documents that pass basic identity checks to voice cloning that makes impersonation more convincing. A prevention programme has to assume the attacker is well resourced rather than opportunistic.
Common types of fraud
Several patterns recur in cross-border payments.
- Authorised push payment (APP) scams: The victim is tricked into sending money to a fraudster, often by impersonation of a supplier, bank, or executive.
- Business email compromise: Attackers hijack or spoof email to redirect a legitimate business payment to their own account.
- Account takeover: Criminals gain control of a genuine account and push payments out before the owner reacts.
- Money mule networks: Layered accounts move illicit funds across borders to disguise their origin.
- Synthetic and stolen identities:Fabricated or stolen identity data is used to open accounts that exist only to move fraudulent money.
Each targets a different weak point, so no single control stops them all.
The controls that counter fraud
A prevention stack works in layers, so that a payment passing one check still faces others.
Identity verification (KYC and KYB)
Strong onboarding stops many fraudulent accounts before they transact. Verifying individuals through KYC and businesses through KYB, including ultimate beneficial owners, blocks synthetic identities and mule accounts at the door.
Transaction monitoring
Real-time monitoring scores payments against expected behaviour and flags anomalies such as unusual amounts, new beneficiaries, or atypical corridors. Modern systems use machine learning to weigh many signals at once, which catches subtle patterns that fixed rules miss.
Sanctions and watchlist screening
Every cross-border payment should be screened against sanctions lists and politically exposed person data. This is both a legal requirement and a fraud control, since it blocks payments to prohibited parties.
Device and behavioural signals
Device fingerprinting, location data, and behavioural biometrics such as typing and navigation patterns help distinguish a genuine user from an impostor, even when the correct credentials are used. These signals are valuable precisely because they are hard for a fraudster to fake at scale. A stolen password can be entered from anywhere, but replicating how the real owner holds a phone, types, or moves through an app is far harder, so a mismatch is a useful early warning even before any money moves.
Fraud type and control at a glance
| Fraud type | Primary control | Supporting control |
|---|---|---|
| APP scam | Behavioural analysis, payee verification | Customer warnings, transaction limits |
| Business email compromise | Payment verification, dual approval | Device and email anomaly checks |
| Account takeover | Behavioural biometrics, step-up auth | Device fingerprinting |
| Money mule activity | Transaction monitoring | KYC and network analysis |
| Synthetic identity | Ongoing monitoring | Table Data |
Building a prevention stack
Several patterns recur in cross-border payments.
Three obligations tend to recur across jurisdictions:
- Layer defences so onboarding, monitoring, and screening reinforce each other rather than duplicating effort.
- Share signals across the stack, so a device flag can raise the risk score on a later transaction.
- Tune thresholds to your real traffic, balancing fraud caught against legitimate payments blocked.
- Keep humans in the loop for high-risk cases, since judgement still matters on novel or ambiguous fraud.
- Maintain an audit trail for every decision, which supports both investigation and regulatory reporting.
A layered stack also feeds broader financial-crime obligations. Our guide to AML compliance solutions covers how these controls connect to anti-money laundering programmes, while cross-border payment solutions and cross-border payments types and costs set out the wider context.
Where Artha fits
Artha Fintech supplies KYC, KYB, transaction monitoring, and screening as software modules that work together across fiat and crypto, while clients and their regulated infrastructure partners hold the licences and custody funds. That lets a business assemble a layered fraud-prevention stack inside one platform rather than integrating many vendors. See the payments module to see how the controls connect.
Frequently Asked Questions
What is the most common cross-border payment fraud?
Authorised push payment scams, where a victim is deceived into sending money themselves, are among the most damaging because the payment is technically authorised by the account holder.
Can fraud checks slow down legitimate payments?
Poorly tuned checks can. Well-designed systems apply heavier scrutiny only to higher-risk payments, so most genuine transactions pass without added friction.
Does AI help prevent payment fraud?
Yes. Machine learning scores transactions in real time and weighs many signals at once, improving detection and reducing false positives compared with fixed rules, though human review remains important.
Is sanctions screening a fraud control?
It serves both purposes. It is a legal requirement and it also blocks payments to prohibited or high-risk parties, which reduces fraud exposure.
