Fraud Prevention has to be AI-driven

Explore how AI is transforming fraud prevention in financial institutions, shifting from rule-based systems to real-time, AI-driven solutions. Yinglian Xie, CEO of DataVisor, discusses the evolution, challenges, and future of AI in combating sophisticated fraud tactics.Key Topics• Shift from batch to AI-driven fraud detection• Role of unsupervised machine learning in identifying new fraud patterns• Challenges in adopting AI for financial institutions• Importance of governance and transparency in AI systems• Future trends in AI and fraud preventionChapters00:00 Introduction to AI in Fraud Prevention03:08 The Shift from Batch Processing to Real-Time AI06:15 Challenges in Adopting AI for Fraud Prevention09:03 The Role of Governance and Regulation12:09 Customer-Centric Approaches in Fraud Prevention15:08 Leveraging AI for Proactive Fraud Detection18:10 Unsupervised Learning in Fraud Detection21:00 Building Trust in AI Decision-Making24:06 The Future of Fraud Prevention Technology#ai #fraudprevention #cybersecurity #aigovernance #financialcrime