One year after the UK PSR reimbursement requirement for APP fraud, Martin Woods, Chair of the Global Compliance Institute, and host, Nick Parfitt reflect on the impact of this shift.

With 40 years of crime investigation under his belt, Martin shares his candid thoughts on how regulation has shifted the financial burden of fraud to the industry, making payment service providers "second-party victims."

“If they know your phone number… they can use [it] to look up to see whether you have a Cash App account, whether you have a Zelle account, and then they know how to demand payment from you.”

In this month’s FIN Podcast, we dive into sextortion with economist and financial-crime expert Alison Jimenez, who breaks down how these scams work and how financial institutions, parents and teens can spot the red flags.

AI can process more data than any team ever could. But when it comes to nuance, like understanding cultural context, human expertise is essential.

AI can learn from that expertise, but only if we train it with the right data.

That’s where the future of AML lies: machines amplifying what human experts already do best.

In this episode, Pawneet Abramowski (PARC Solutions) and Karin Yuklea (Feedzai) explain how combining human judgment with machine learning leads to sharper AML decisions.

What are Shmuel Kahn’s biggest concerns and priorities as VP, Head of Payments Risk at Max?

With two decades in fraud prevention, Shmuel has seen fraud evolve from skimming at gas stations to AI-powered scams and deepfakes. In this discussion, he shares his top priorities for risk leaders today.

The National Task Force on Fraud and Scam Prevention is about to release a national strategy to fight scams, and it can’t come soon enough.

In our latest Feedzai podcast, Kate Griffin of the Aspen Institute Financial Security Program speaks with Rich Harris from Feedzai about the coordinated assault by transnational criminal networks targeting consumers at scale.

Jeny Rasheva, Director, Financial Crime at PwC, joins Tejal Kaur on the FIN Podcast for a timely and insightful deep dive into target operating models (TOMs) and their role in modern fraud strategy.

Even the most advanced tech can’t deliver without a solid operating model. Jeny explains how TOMs serve as the foundation of effective fraud programs, and what happens when they’re missing.

Geoff Morton, Senior Director of Fraud Strategy at RBC, joins Jas Anand from Feedzai for a candid and timely conversation about scams in Canada.

Geoff offers a rare insider’s perspective on the emotional, financial, and systemic impact of modern scams, from crypto cons to deepfake-driven deception. He also explains why Canada’s collaborative approach to fraud prevention could serve as an inspiration for other countries.

Greg Williamson, Senior Vice President of Fraud Reduction at the Bank Policy Institute (BPI), sits down with Lenny Gusel from Feedzai to discuss the barriers to intelligence sharing—and the breakthroughs.

From structured exchange of information to cross-industry coordination with telecoms and law enforcement, Greg lays out BPI’s three-pillar strategy to tackle one of the most dominant issues in risk today.

Elizabeth Ziegler, Director of Fraud, Consumer, at Lloyds Banking Group, offers an unfiltered look at the daily battle against financial crime. From tackling scams to navigating the ethical complexities of dealing with unwitting money mules, she shares real-world insights on protecting millions of customers.

Discover how Lloyds is using AI-driven intelligence to stay ahead of evolving threats—and what the UK can learn from global frontrunners like Australia and Singapore. Plus, get a glimpse into what’s next for fraud prevention in 2025 and beyond.

Meet Michael Roberts, a former telecoms clerk turned international crime fighter. In the debut episode of the Feedzai Intelligence Network (FIN) podcast, he shares powerful stories with Robert Harris of sextortion, scams, and cross-border justice. He’s cutting through red tape to fight global financial crime—one case at a time.