The implementation of the EU’s Article 75 mandates a crucial shift from siloed reporting to real-time, cross-border information sharing, enabling financial institutions to intercept scams at the speed of modern payment networks. By overcoming governance hurdles and adopting collaborative network intelligence, the industry can proactively expose mule accounts, dramatically increase fund recovery rates, and dismantle the economic viability of financial crime.

Reflecting on a recent summit in Vienna, FNA's Adam Csabay emphasizes the industry's critical shift from siloed fraud prevention to a collaborative, systemic approach against organized financial crime. The dispatch highlights the practical deployment of AI and the urgent need to secure fast payment infrastructures through cross-sector intelligence sharing.

At the Inclusive Fintech Forum in Rwanda, FNA's Kimmo Soramäki highlighted the critical challenge of securing booming real-time payment networks against escalating financial crime without sacrificing speed or financial inclusion. The panel emphasized that overcoming the limitations of siloed compliance requires a shift toward coordinated, network-wide intelligence and collaborative national anti-scam infrastructures.

As financial crime rapidly shifts from unauthorized breaches to Authorized Push Payment (APP) scams, traditional siloed transaction monitoring systems are failing to detect malicious networks. To counter the speed of real-time payments, the industry must transition to a collaborative, network-first approach leveraging Graph AI to trace mule clusters and create systemic immunity across the entire financial ecosystem.

Reflecting on recent industry engagements in the UAE, FNA's Adam Csabay highlights the region's shift toward practical AI applications to combat financial crime and safeguard fast payment systems. The letter underscores the importance of cross-border collaboration and digital transformation in building a safer, more efficient global financial ecosystem.

With social media now the primary hunting ground for fraudsters, new regulations like the Digital Services Act offer National Anti-Scam Utilities the authority to execute priority takedowns and disrupt scam campaigns before funds are lost.

Article 75 of the new EU AML Regulation establishes a legal framework for private-to-private information sharing, enabling financial institutions to use Privacy-Enhancing Technologies like Multi-Party Computation to disrupt networked financial crime without compromising data privacy.

FNA and Proto’s "Trust at Speed" solution wins the 2025 G20 TechSprint, offering a national utility that combines multilingual AI reporting with real-time fund tracing to dismantle industrial-scale scams.

FNA explores why the "speed of progress" must be matched by the "speed of protection," calling for national anti-scam infrastructures to safeguard the economic gains of financial inclusion.

FNA’s National Fraud Portal (NFP) wins "Outstanding Overseas Initiative" at the 2025 TECAs, marking a global breakthrough in real-time fund tracing and multi-agency scam response.

Dr. Kimmo Soramäki (FNA) and Curtis Matlock (Proto) reveal how their G20 TechSprint-winning solution uses multilingual AI and real-time graph analytics to dismantle "industrial-scale" scams.

Mark Cheeseman OBE (PSFA) and Phillip Straley (FNA) examine the UK’s "cross-system" defense against public-sector fraud, highlighting how the Single Network Analytics Platform (SNAP) is uncovering hidden connections in minutes.

FNA and Proto join forces for the G20 TechSprint 2025, presenting "Trust at Speed"—a national utility that integrates multilingual AI reporting with real-time graph analytics to close the "fraud response gap."

The recent crackdown on mule accounts in Thailand illustrates the delicate balance authorities must strike between aggressive fraud enforcement and maintaining public trust to prevent systemic liquidity risks and financial instability.

As fraud outpaces traditional compliance, central banks are shifting toward unified national infrastructures that leverage AI and real-time tracing to proactively protect consumers and restore financial system integrity.

As fraud outpaces traditional compliance, central banks are shifting toward unified national infrastructures that leverage AI and real-time tracing to proactively protect consumers and restore financial system integrity.

This article outlines the critical performance metrics—ranging from fund recovery rates and case closure speed to public trust—that are essential for justifying the investment in and managing the success of National Anti-Scam Centres.

FNA proposes a three-pillar strategy—advanced technology, regional clearing houses, and global leadership—to bridge the gaps between national anti-scam centers and combat the rising threat of cross-border fraudulent payment flows.

FNA explores the paradox of financial inclusion, where real-time payment systems empower millions but also create vulnerabilities for first-time digital users, necessitating national-level fraud utilities to protect consumer trust and economic progress.

FNA utilizes Graph Machine Learning instead of Federated Learning for real-time payment fraud detection because centrally analyzing hashed, multi-bank data reveals coordinated illicit networks and significantly increases predictive performance.