AI Adoption in Fraud and Financial Crime Prevention

This report presents findings from a global survey on the adoption of artificial intelligence (AI) in fraud and financial crime prevention, based on responses from 154 industry leaders. The survey reveals that 98% of organizations are pursuing at least one advanced AI project, yet only 19% operate with full AI autonomy. The report highlights that human-in-the-loop models dominate, which can increase costs and slow response times. Key priorities for organizations include securing payment environments and implementing generative AI. Compliance with emerging AI regulations is identified as a significant challenge, with 21% of respondents citing it as a top internal issue. Despite the widespread adoption of AI, organizations face limitations in autonomy and scalability due to talent shortages and legacy systems. The report also outlines emerging AI-driven threats and emphasizes the importance of data and intelligence exchange in enhancing fraud prevention efforts.