European Banks Speed Up AI Controls Against Complex Fraud

A survey of 200 European fraud leaders, conducted in association with NICE Actimize, found banks are stepping up deployment of AI-driven detection and prevention systems to address growing fraud complexity across multiple channels.

Respondents identified continued losses from card fraud and account takeover alongside rapid increases in automated payment requests and activity tied to virtual assets. The survey formed the basis for a webinar moderated by researcher Sharon Kimathi and hosted with NICE Actimize.

Fraud teams reported prioritizing investment in machine learning and analytics to scale monitoring, link behavior across accounts and detect patterns that rule-based systems miss. At the same time, respondents described persistent technical obstacles: legacy platforms, siloed data and limited staff expertise that slow model testing and production rollouts.

Preparedness varied across European markets. Some institutions reported advanced analytics and dedicated virtual-asset monitoring. Others rely mainly on older rule-based controls that respondents said struggle with higher volumes and more sophisticated attack patterns.

When asked about readiness over the next few years, many fraud leaders expressed concern and said additional investment is needed. Institutions reported directing budgets to AI, cross-channel detection and staff training to address gaps in data science and investigation skills.

Survey materials listed common operational barriers to faster modernization: integration complexity when deploying new models, difficulty accessing clean consolidated datasets, and a shortage of experienced fraud data scientists and investigators. The webinar agenda includes discussion of which controls have shown effectiveness in trials and early deployments, and where institutions plan to focus investment for 2026 and beyond.