Banks today face a double challenge, protecting customers from fast-moving fraud while ensuring that their experience remains smooth and uninterrupted. This paper explores customer-centric fraud prevention strategies that make use of device intelligence, GenAI co-pilots and adaptive AI. Together, these approaches help banks strengthen digital trust while avoiding unnecessary friction.

Introduction

Real-time payments have reshaped how customers interact with financial services. Transfers that once took hours or days now occur in seconds on mobile devices. This speed, however, has created new vulnerabilities. Fraudsters exploit instant systems through scams such as Authorized Push Payments (APP), phishing and account takeovers.

Customers simultaneously expect banking services to be effortless. Strict fraud controls that use repeated OTPs, blocked transactions, or intrusive checks can discourage and push users toward competitors. Banks therefore face the challenge of building stronger security that works silently in the background without compromising the customer journey.
 

The Customer at the Centre of Fraud Defense

The threat landscape for banks is rapidly evolving, with fraudsters exploiting instant payment rails through APP scams, phishing, and even deep-fake-driven social engineering. At the same time, customers are placing banks under pressure to deliver seamless digital experiences and excessively rigid controls can easily backfire, causing failed payments, frustration and reputational harm. To balance these competing demands, fraud prevention must become an invisible part of the customer journey, activating only when risk is high so that security is strengthened without undermining trust or convenience.

Device Intelligence

Device intelligence and digital fingerprinting, combined with network and context monitoring, provides banks with powerful tools to confirm identity and detect anomalies such as unexpected devices, locations, or transaction patterns. By applying these insights in real time, banks can run fraud checks silently in the background and step in only when there is a clear indication of risk, ensuring that security measures protect customers without disrupting their experience.

AI and GenAI

AI-driven fraud operations bring together adaptive risk scoring, GenAI co-pilots, and explainability to create a more intelligent and transparent defense. Adaptive models learn from customer behavior in real time, flagging unusual activity within milliseconds, while GenAI co-pilots streamline investigations by summarizing alerts and recommending actions. Crucially, explainability ensures that both customers and regulators receive clear reasoning for flagged or declined transactions, reinforcing trust in the system.

Another important aspect is the ability to learn from feedback. Confirmed fraud cases  automatically feed into hotlists, strengthening defenses against repeat offenders such as fraudulent VPAs. At the same time, false positives are reduced by fine-tuning rules or deactivating those that only apply in specific scenarios. This continuous feedback loop ensures that the system not only adapts in real time but also improves over time, keeping fraud controls sharp without adding unnecessary friction.

Collaboration

Collaboration is becoming a cornerstone of modern fraud prevention, with banks, PSPs, and infrastructures increasingly pooling insights through federated and privacy-preserving methods. Advances such as bank rule promotions make it possible to share intelligence without exposing sensitive data, enabling collective defense at scale. Real-world examples, from the UK’s APP scam refund framework to India’s centralized UPI monitoring, show how coordinated action across institutions can significantly reduce fraud losses.

Next-Gen Fraud Prevention

Next-generation fraud prevention must be embedded directly into the customer journey, with mobile banking apps integrating alerts seamlessly so that protection feels like a natural part of the experience.

Customer-centric fraud prevention has never been more urgent. The rapid expansion of instant payment systems like FedNow, UPI, Pix, and SCT Inst has created new opportunities for fraudsters, with APP scams and social engineering attacks on the rise. At the same time, advances in AI and GenAI are reshaping the tools available for detection and explainability, while regulators are demanding stronger consumer protection without stifling innovation.

For banks to justify new fraud prevention strategies, outcomes must be clear and measurable. Success is defined by fewer false positives alongside consistently high detection rates, tangible reductions in losses from APP scams and account takeovers, and faster case resolution supported by lower operational costs through GenAI tools. Just as important, customers should experience greater satisfaction and loyalty, driven by smooth and secure interactions that reinforce trust in digital banking.

RS IntelliEdge - Banks™

RS IntelliEdge - Banks™ is built to make customer-centric fraud prevention a reality. Its real-time rule and AI/ML scoring deliver results in under 100 milliseconds, ensuring that fraud detection keeps pace with instant payments. Fraud-Scope, the GenAI Co-Pilot, enhances analyst productivity while also providing explainability for both regulators and customers. By combining device and contextual intelligence, RS IntelliEdge - Banks™ enables authentication that is invisible yet effective and its federated intelligence sharing ensures collaboration without compromising privacy. As alternate payments such as biometric authentication and toll collection gain traction, new fraud risks emerge - from spoofed fingerprints to compromised toll tags and devices planted in high-traffic areas. RS IntelliEdge™ is designed to anticipate and counter these risks, extending protection beyond conventional digital payments into these evolving commerce environments. With support for multiple rails - from ISO 20022 and ISO 8583 to RTP, cards, UPI along with biometric payments and toll collection - RS IntelliEdge - Banks™ provides a unified, future-ready platform for banks and infrastructures alike.

Conclusion

The next phase of fraud prevention must be intelligent, collaborative and nearly invisible. By embedding adaptive AI, GenAI co-pilots, and network-wide collaboration into digital banking, banks can achieve frictionless security.

As real-time payments expand worldwide, the imperative is clear: only by aligning fraud defenses with customer expectations can banks preserve trust and sustain growth.