The Real Future of Fraud Fighting

In this episode, we are joined by Tamas Kadar, CEO of SEON, who shares insights on how AI and automation are transforming fraud detection, the evolving role of fraud analysts, and best practices for implementing AI responsibly in fraud prevention.The report we reference in the session: https://seon.io/landing/2026-fraud-and-aml-leaders-report/?utm_source=leading-detection&utm_medium=referral&utm_campaign=content-release_fraud-aml-survey-horizontal_fy26-q1&utm_content=podcast_fraud-aml-survey-horizontal_fy26-q1Key Topics• AI and automation in fraud detection• Evolution of fraud analyst roles• Best practices for AI implementation in fraud preventionChapters00:00 Introduction to Fraud Detection and AI02:37 Evolution of Fraud Detection Algorithms05:15 The Role of AI in Fraud Analysis07:52 Challenges in Implementing AI Solutions10:36 The Human Element in Fraud Detection13:07 Setting Realistic Expectations for AI in Fraud15:46 Future of AI in Fraud Detection20:46 Integrating AI with Compliance and Historical Insights22:48 Proactive Fraud Prevention Strategies25:20 Testing and Evaluating Fraud Detection Tools27:08 The Challenge of Automation in Fraud Management31:06 The Rarity of Skilled Fraud Practitioners34:32 Building Effective Fraud Teams and Tools38:19 Future Trends in Fraud Prevention and Vendor Dynamics#FraudPrevention, #AIinFraud #FraudAnalytics #Tech