In this episode of The People Making Payments Podcast, Shona sits down with Nikhita Hyett (General Manager EMEA at Signifyd) to explore how fraud has evolved, why fraud and abuse need to be treated as fundamentally different problems, and what fraud prevention needs to look like as the industry moves into an agentic future.
They start by unpacking how fraud has evolved 👇
➡️ How fraud has evolved from simple stolen card details to account takeover and synthetic identities built up over time to look genuine
➡️ Why first-party fraud, or "abuse," is a different problem entirely, and needs to be treated differently to organised fraud rings
➡️ Why returns abuse is a good example of this distinction in action, and why it's become far more prevalent thanks to fast fashion and frictionless e-commerce
➡️ Why fraud prevention has shifted from static, rules-based systems to machine learning models built on identity, intent, and real-time data
➡️ Why the real advantage in fraud prevention isn't just having data, but having the data science teams to turn it into accurate decisions in milliseconds
From there, the conversation turns to where fraud prevention is heading next 🔮
➡️ Why speed and scale will only keep increasing as fraudsters get faster and more sophisticated
➡️ How agentic commerce introduces a whole new layer of fraud screening, since verifying a bot's trustworthiness is very different to verifying a human's
➡️ Why regulation hasn't caught up with agentic commerce yet, and how frameworks like PSD3, SCA and 3D Secure will need to adapt
➡️ Why friendly fraud will only become a bigger cost consideration for merchants going forward
➡️ Why the real opportunity for payment providers is unlocking revenue through fraud prevention, not just blocking transactions
Plus, we find out what Nikhita would be doing if she wasn't fighting fraud, and the achievement she's proudest of that you won't find on LinkedIn 📰
If you work in payments, this episode is essential listening on how fraud has evolved and where the next big risks (and opportunities) lie.