In an instant payment, cross-border world, fraud is more nefarious and prevalent than ever. Recent research shows that worldwide, APP (Authorised Push Payment) fraud now represents 75% of all digital banking fraud on a dollar-value basis. By 2026, losses are expected to reach $5.25 billion – revealing that APP fraud is one of the biggest threats to financial institutions (FIs) globally.
The next pre-emptive step in the fight against fraud is generative AI (GenAI), which uses Large Language Models (LLMs) to generate new content like text, audio, video and even new computer code. While GenAI is still in the fledgling stages of adoption within fraud prevention, it will soon become a true differentiator.
But how exactly are scammers deploying AI to their advantage? What are the best ways to incorporate GenAI into a fraud prevention strategy? How should consumer privacy be managed? This impact study answers these questions and casts an eye over the current fraud landscape, the regulatory implications, and the vital role of innovation.
This Finextra impact study, produced in association with Outseer, explores:
- The evolution of scams;
- The role of AI;
- Technology and the impact of generative AI;
- How to embed AI in the best way possible;
- Addressing regulatory challenges and concerns;
- And more.