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Trust is everything in banking. But instant payments, and the weaponization of AI, have pushed fraud past the limits of siloed controls. This session explores how cloud-based, cross‑industry consortiums enable institutions to collaborate in real time across the ecosystem, sharing privacy‑safe signals to spot scams and synthetic identities before money moves, without adding friction for customers.

Most fraud headlines focus on the latest tactics. But the real shift is deeper: fraud and financial crime have changed. They no longer occur as isolated attacks. Instead, they operate as continuous, coordinated systems spanning identity, payments, scams, and money movement — and often appear legitimate at the moment they occur. Rather than speculating about future threats, we’ll examine what actually changed in fraud and AML operations in 2025 and what leaders should prioritize, fund, and operationalize in 2026.

The Nacha fraud monitoring updates are fast approaching, and most banks are hearing very different messages about what they mean. Some are being told they’re already covered and don’t need to change anything. Others are hearing warnings about major gaps, heightened liability, or the need for entirely new controls. In between, many fraud, payments, and compliance teams are left trying to translate broad guidance into something they can actually execute and explain.

AI is enabling financial crime faster than current FRAML systems can adapt. From deepfakes to website cloning, fraudsters are using AI to launch large-scale attacks that bypass systems and flood risk teams with alerts they can’t triage fast enough.

Fraud is evolving faster than most systems can keep up. It’s no longer confined to one channel or platform. We’re seeing activity move across banks, fintechs, and payment rails in ways that make it hard to see the full picture. Risk teams are left reacting to fragments of a much larger story after the money has already moved.

Explore how AI is fueling the global “Scamdemic” and learn practical ways to detect and stop modern scams before they spread.

As real-time money movement becomes a table-stakes requirement, banks see increasing demand and opportunity to support innovative payment methods, such as P2P and Visa Direct. This becomes especially complicated when it involves a third party or fintech partner. But for many institutions, the compliance and fraud risks from high-velocity use cases like peer-to-peer (P2P) transfers are enough to stall adoption. What if we could bring that under control?

Scammers exploit the gaps between your ACH operations and fraud teams. While these departments tackle overlapping threats, they rarely share tools, data, or detection strategies - creating perfect blind spots for fraudsters to exploit. Nacha's new risk management rules are designed to help close that gap, but implementation and coordination are key.

The bad guys don’t care about org charts. Although cyber, fraud and compliance teams tackle overlapping threats, they don’t often share the budget, tools or data with each other. Bad actors exploit these gaps, leading to greater compliance risk, fraud losses, and vulnerabilities.

If you manage fraud or compliance for a fintech program, join this webinar for insider tips on building a robust compliance program that earns your sponsor bank's trust.

Join us for a deep dive on fraud prevention with leading fraud expert and host of the Fraudology podcast, Karisse Hendrick. In this webinar, Karisse will share some of the craziest fraud stories from her career and provide an insider’s view on emerging fraud trends. We’ll also run through the exercise of what it takes to build a best-in-class fraud function.

Join industry leaders Jas Randhawa (StrategyBrix), Krisan Nichani (Sardine), and Alex Pillow (Moody’s) as they discuss essential strategies for building a top-tier Fraud & Compliance function in 2024.

How can Fintech companies go from 0 to 1 in AML and fraud? And how can partner banks help them get there faster to win the partnerships opportunity?

We gathered folks from the front lines of the fraud squad at Pleo, Novo, and FINTRAIL to break out some practical examples of how to use data, AI, and machine learning in your day-to-day fraud and compliance operations. You can't miss this.