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.

We reflect on the evolution of Suptech, predicting a shift toward a new supervisory paradigm where central authorities transition from periodic monitors to real-time systemic enablers through shared utilities, Digital Twins, and fused data intellig

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 will showcase its advanced graph analytics and AI-driven solutions for liquidity optimization, financial stability, and anti-fraud at Sibos 2025 in Frankfurt, engaging with global leaders to build a more resilient financial ecosystem.

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.

Project Meridian FX demonstrates how a neutral "synchronization operator" can orchestrate atomic, cross-border payments between diverse ledgers, providing a practical and faster alternative to wholesale CBDCs for wholesale FX settlement.

FNA examines how the regulatory validation of the GENIUS Act has shifted stablecoins into the mainstream, creating a "liquidity puzzle" for banks where atomic settlement and 24/7 payment flows necessitate advanced liquidity intelligence to manage fragmented cash pools and rising operational costs.

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 and Proto have introduced a unified national utility designed to bridge the critical gap between initial fraud reporting and real-time fund recovery. By integrating AI-driven consumer engagement with cross-institution tracing, this solution provides a seamless, end-to-end response to the global rise in digital scams

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.

This article details the strategic shift from traditional, episodic Real-Time Gross Settlement (RTGS) simulations to dynamic, always-on digital twins, which integrate real-time transactional data to continuously guide policy, optimize liquidity, and strengthen the resilience of financial market infrastructures.

This article explores the critical role of AI in national fraud portals and outlines FNA’s commitment to ethical principles—explainability, continuous feedback, privacy, and structured oversight—to ensure transparent and responsible scam detection across financial ecosystems.

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.

FNA and Proto have partnered to equip financial authorities with an end-to-end fraud recovery solution, combining multilingual AI reporting assistants with real-time transaction analytics to rapidly trace stolen funds and protect vulnerable consumers.