The reality of AI and ML in fraud prevention

Episode notes

In this episode, Eugeny Malyutin from SUMSUB discusses the realities and hype around AI and ML in fraud prevention, exploring how fraud tools have democratised, the current state of AI in fighting fraud, and best practices for deploying AI systems in regulated environments. Key Topics The democratisation of fraud tools and its implications Current state and future of AI and ML in fraud detection Best practices for deploying AI in regulated environments The role of human oversight in AI-driven fraud prevention Challenges and opportunities with generative AI and deepfakes Chapters 00:00 Introduction to the episode and guest 03:06 Hype versus reality in AI-driven fraud agents 08:00 Differences in applying ML in fraud versus other industries 12:04 Building a modern, multi-model fraud detection system 14:15 Speed of fraud evolution and detection challenges 15:12 Data versus models: what is more important?

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