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.

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’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.

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.

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.

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’s Amanah Ramadiah shares key takeaways from the Singapore Fintech Festival, exploring how AI, Project Nexus, and collaborative frameworks are redefining the future of cross-border payments and financial crime prevention

FNA receives the RegTech Association’s Chairman’s Award for its National Fraud Portal, a pioneering digital public infrastructure designed to accelerate fraud recovery and victim support.

The shift to instant payments has accelerated complex, cross-bank fraud that siloed bank data cannot detect. By establishing national data-sharing hubs and deploying advanced network analytics, authorities and banks can trace illicit money trails in real time and intercept scams before funds are lost.

FNA’s Will Towning examines BIS Project Aurora’s findings, which reveal that graph-based machine learning doubles the detection of money laundering activity while slashing false positives by up to 85%.

In part two of 'The Power of Payments Data,' FNA explores how graph-based anomaly detection at the system level provides the accuracy, resilience, and agility needed to dismantle sophisticated global money laundering networks.