Fraud Prevention has to be AI-driven

Episode notes

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 prevention Chapters 00:00 Introduction to AI in Fraud Prevention 03:08 The Shift from Batch Processing to Real-Time AI 06:15 Challenges in Adopting AI for Fraud Prevention 09:03 The Role of Governance and Regulation 12:09 Customer-Centric Approaches in Fraud Prevention 15:08 Leveraging AI for Proactive Fraud Detection 18:10 Unsupervised Learning in Fraud Detection 21:00 Building Trust in AI Decision-Making 24:06 The Future of Fraud Prevention Technology #ai #fraudprevention #cybersecurity #aigovernance #financialcrime

• The future is continuous verification62 / 100
• The human side of fraud
• Fighting fraud in the Agentic Era
• Is Identity Verification now redundant?
• Uncovering CX Fraud