Verafin

Just four more days until Money20/20 Europe 2026 in Amsterdam. 📅 2-4 June, 2026. For over 20+ years, Nasdaq Verafin has helped organisations detect and stop payments fraud at scale—grounded in consortium-level visibility that a single institution can’t achieve alone.  We’ll be at Stand 5F111 for conversations with EU/EMEA banks and payment institutions on Payments Fraud and to compare approaches and priorities for 2026.  

Illicit financial flows across EMEA are accelerating, reshaping the region’s financial crime risk landscape. In my blog, I draw on insights from Nasdaq Verafin's 2026 Global Financial Crime Report to explore how scams, AI enabled threats, real time payments, and converging crime typologies are redefining risk for European institutions, and what financial institution leaders must consider. Read the blog here: https://lnkd.in/e54FRpbf  

Illicit flows around the world surged to USD $4.4T in 2025. Singapore saw illicit financial activity surge to $17.8B.     The time is now for collective action.    Download our new report for more targeted insights from Singapore and countries across the globe. https://lnkd.in/deUa56-b 

At ACAMS Europe, one aspect resonated with me: The pace of change in financial crime is accelerating Silos are breaking down AI is reshaping both threats and defences Collaboration is essential We are moving towards a more interconnected, intelligence-driven landscape. Read my full recap: https://lnkd.in/eMXueNrs

As payments initiate and settle faster than ever, fraud and scams can unfold in milliseconds — a speed where manual prevention is ineffective. That’s why Nasdaq Verafin has spent nearly a decade advancing real‑time interdiction APIs that help institutions assess payments in sub‑second timeframes, including support across ACH, wire, TCH‑RTP, FedNow, and check deposits. Ina post we shared on Monday, Real-Time Analysis: A Decade of Dedication, Colin Parsons discussed why milliseconds matter. Looking ahead, the next evolution is getting even earlier in the lifecycle —identifying risk before the payment is initiated, such as when a payee is added or when signals suggest someone may be falling for a scam.

In two weeks, the Nasdaq Verafin team will be at the Global Anti-Scam Summit Europe 2026 (9-10 June). We’re looking forward to connecting with financial institutions and domestic payment networks on what’s changing in payments fraud and hearing from them about what’s actually helping their teams reduce friction while improving outcomes.  If you plan on being there, let’s meet to compare notes on approaches to identifying payer/payee risk more efficiently, especially as payments fraud continues to evolve. Reach out to Sónia Mota and Charlotte Takács to start a conversation.

Global fraud surged to USD $579B in 2025, with fraud losses in Singapore rising to $734M.     Download our new Global Financial Crime Report for more targeted insights from Singapore and countries around the world.    https://lnkd.in/deUa56-b 

As payments initiate and settle faster than ever, fraud now manifests in milliseconds — at speeds where manual prevention is not just ineffective, but impossible. In this article, Colin Parsons shares his perspectives on Nasdaq Verafin’s decade of dedication to real-time analysis, why milliseconds matter, and the requirements of proactive fraud prevention. See why:  • ⚡ Sub‑second decisioning is essential.  • 🧠 Prevention starts before the transaction.  • 🔒 Reactive monitoring is ineffective. 

Two weeks until Money20/20 Europe 2026, and Nasdaq Verafin will be there. 📅 2-4 June, 2026. Payment ecosystems are complex — and fraud signals are often fragmented across institutions. That’s why we’re focused on Payments Fraud and how collaboration can surface shared intelligence across a network.  If you’ll be in Amsterdam, come find us at Stand 5F111 to discuss collaboration at scale for domestic payments fraud.  

As payments continue to move faster, effective fraud prevention will require both earlier insight and real-time execution. At Nasdaq Verafin, that combination continues to guide how real-time analysis is designed — not as a feature, but as a foundation.