From Risk to Resilience: Transforming Payment Fraud Detection with AI

Is your institution prepared for the next wave of financial crime?

As digital payments surge and consumer expectations evolve, financial institutions are grappling with a sharp rise in sophisticated fraud and money laundering threats. Outdated infrastructure, siloed systems, and legacy IT are leaving critical gaps—while regulatory changes shift the burden of protection onto banks and payment providers.

This exclusive Infosys whitepaper explores how AI, machine learning, and unified data platforms are reshaping the fight against financial crime in the payments space. With deep dives into real-time fraud detection, AML advancements, and explainable AI (XAI), the paper highlights the limitations of current systems and offers strategic recommendations for building future-ready, resilient defenses.

Discover:

• How to modernize fragmented fraud and AML systems
• The power of shared analytics and institutional collaboration
• What a Norwegian Bank teaches us about secure authentication ecosystems
• Why customer trust and seamless security must go hand-in-hand

The road ahead demands more than just stronger technology—it requires a unified, proactive strategy.

Unlock actionable insights to stay ahead of evolving threats and safeguard your financial ecosystem.

Authors

Terje Aleksander Fjeldvaer
SVP - Head of Financial Crime & Sanctions, DNB

Vivek Dwivedi
Regional Head, Infosys

Amit Khullar
AVP, Industry Consulting Leader, Infosys