Alyssa Iyer, Director of Product for AML Prevention at Lynx Tech, discusses how Daily Adaptive Models (DAMs) are revolutionizing fraud detection by rapidly adapting to evolving money laundering tactics, significantly outperforming traditional rule-based systems. She highlights the challenge of fragmentation in complex transaction ecosystems and the strategic shift institutions are making by combining supervised and unsupervised AI models to gain a holistic view of risk and maintain a balance between robust security and seamless user experience.