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 prevention

Chapters

00:00 Introduction to Fraud Detection and AI

02:37 Evolution of Fraud Detection Algorithms

05:15 The Role of AI in Fraud Analysis

07:52 Challenges in Implementing AI Solutions

10:36 The Human Element in Fraud Detection

13:07 Setting Realistic Expectations for AI in Fraud

15:46 Future of AI in Fraud Detection

20:46 Integrating AI with Compliance and Historical Insights

22:48 Proactive Fraud Prevention Strategies

25:20 Testing and Evaluating Fraud Detection Tools

27:08 The Challenge of Automation in Fraud Management

31:06 The Rarity of Skilled Fraud Practitioners

34:32 Building Effective Fraud Teams and Tools

38:19 Future Trends in Fraud Prevention and Vendor Dynamics

#FraudPrevention, #AIinFraud #FraudAnalytics #Tech