Instant payments—from Zelle-style peer-to-peer (P2P) to SEPA Instant in Europe and the UK’s Faster Payments—are revolutionizing how money moves, powering convenience and economic growth. But with great speed comes great risk: social engineering attacks now exploit these innovations at scale, yielding serious losses to consumers and banks alike through authorized push payment (APP) fraud. As industry and regulators tighten the net on liability, how can payment providers balance robust protection, world-class customer experience, and ongoing innovation?
Why social engineers target real-time payment schemes
Real-time, irrevocable payments make life easier for legitimate users—but also for fraudsters. These schemes carry three fundamental traits that appeal to social engineering and APP scams:
- Irrevocability: Once an instant payment leaves the account, it’s typically gone for good. Unlike card payments, there’s usually no simple “chargeback” mechanism
- Speed: Money is transferred in seconds. This leaves almost no time for banks or end-users to notice and react before funds are out of reach
- Customer-driven flow: Consumer or business customers authorize the payment themselves, making it difficult for banks to block even obviously suspicious activity without seriously impacting the customer experience.
How authorized push payment (APP) fraud works
Unlike classic unauthorized fraud, such as account takeover fraud, APP fraud succeeds because the victim is tricked—emotionally, socially, or by impersonation—into authenticating a payment themselves. Tactics include:
Victims believe they are helping someone trustworthy, resolving a critical issue, or taking up an opportunity. Once they push “send,” their money is gone—often routed through mule accounts and out of the local payment ecosystem in seconds.
- Impersonating legitimate entities (banks, officials, suppliers)
- Coercing victims through urgent fake emergencies
- Manipulating via romance scams or investment pitches
Victims believe they are helping someone trustworthy, resolving a critical issue, or taking up an opportunity. Once they push “send,” their money is gone—often routed through mule accounts and out of the local payment ecosystem in seconds.
Regulatory drivers: Rising expectations for reimbursement and liability
Regulators worldwide are responding to a spike in APP scams by shifting fraud liability. Two key regions set the pace:
- UK: Since late 2024, payment service providers (PSPs) must refund victims of APP scams unless they prove “gross negligence” or first-party fraud occured . Both sending and receiving PSPs share liability, with a maximum claim of £85,000 per incident.
- EU: Under PSD3/PSR (expected to come into force 2027), consumer rights to reimbursement for impersonation fraud become the default. Providers are required to implement robust, context-aware authentication and IBAN/name matching for all credit transfers, and to actively monitor and educate customers. Platforms and telco providers may also face liability if they fail to remove or block scam infrastructure.
The direction is clear: consumer protection is rising, and strong, intelligent fraud controls are now table stakes, not optional.
Risk scenarios: Social engineering and real-time payments in action
- Impersonation of a bank representative: A criminal, using a spoofed bank phone number and personal details, convinces a customer their funds are at risk and must be urgently transferred to a “safe account.”
- Business email compromise (BEC): Fraudsters hijack or impersonate a supplier and send new payment instructions on a fake invoice—a leading cause of corporate payment fraud. Real-time settlement makes recovery nearly impossible.
- Romance/investment scams: Emotional manipulation drives urgent, large payments. Firms are expected to spot changes in payment behavior and intervene.
What good looks like: Risk-based controls that don’t destroy CX
1. Context-aware authentication
Entersekt’s Context Aware™ Authentication enables payment providers and banks to assess every transaction or login with intelligence. This includes:
Low-risk, familiar payments sail through with little to no friction. High-risk and anomalous transactions invoke stronger, layered authentication—biometric proof, device confirmation, out-of-band verification—without defaulting to cumbersome steps for every action.
- Behavioral analytics
- Geolocation
- Risk scoring based on the transaction type, value, customer profile, and channel
Low-risk, familiar payments sail through with little to no friction. High-risk and anomalous transactions invoke stronger, layered authentication—biometric proof, device confirmation, out-of-band verification—without defaulting to cumbersome steps for every action.
2. Intelligent, just-in-time warnings
Generic, wall-of-text style warnings are inneffective. Effective scam prevention means serving context-aware, actionable warnings precisely when behavioral, transactional, or environmental risk spikes. For example, a transfer to a new beneficiary, a transaction via a new device or location, or a first-time high-value payment.
Security prompts could include:
Security prompts could include:
- “Are you sure you recognize this recipient? Fraudsters often trick victims by posing as known suppliers.”
- Interactive prompts that force a deliberate decision, not simply clicking “OK.”
3. Dynamic friction: Smart step-up based on risk
Dynamic friction lets payment providers shape the customer journey based on real risk—not one-size-fits-all hurdles. This might mean step-up authentication for large, cross-border, or first-time payments; pausing high-risk transactions for review; or even “cool-off” periods for unusual activity.
Many banks using machine learning and behavioral analytics report material reductions in false positives and improved customer satisfaction
Many banks using machine learning and behavioral analytics report material reductions in false positives and improved customer satisfaction
4. Continuous transaction and behavior monitoring
Modern fraud prevention layers aren’t just at the point of authentication—they run throughout the full session and customer lifecycle. Real-time monitoring and anomaly detection can spot subtle signals of social engineering—such as extensive call time during payment initiation, or simultaneous device access—and intervene automatically
5. Omnichannel coverage and centralized controls
Fraudsters don’t exploit just one channel; controls must span online banking, mobile apps, and contact centers. Centralizing risk decisioning and sharing intelligence between channels is now a regulatory expectation and a commercial imperative
Closing checklist: 5 Questions to assess your defenses
To assess your institution’s instant payments readiness against social engineering and APP scams, ask:
If any answer is “no,” your controls may not match the sophistication of today’s social engineering tactics or the expectations of tomorrow’s regulators.
- Do you apply context-aware, risk-based authentication for all real-time payment flows?
- Are your scam warnings targeted, interactive, and delivered just-in-time when customer risk spikes?
- Is dynamic friction tailored—so trusted, low-risk payments don’t get blocked, but risky ones face step-up controls?
- Does your fraud monitoring run in real time, across all channels, and include behavioal analytics?
- Can you trace, investigate, and intervene across the customer journey (before, during, and after payment)?
If any answer is “no,” your controls may not match the sophistication of today’s social engineering tactics or the expectations of tomorrow’s regulators.
Ready to deepen your instant payment defenses? Explore how Entersekt’s Context Aware™ Authentication can help you innovate with confidence.
