- From recovery to balance: A look ahead to a more risk-based approach to preventing and combating money laundering and terrorist financing
Solution
Network analyses complement existing machine learning applications. Network analyses of each individual customer can be used as input to boost the accuracy of transaction monitoring models. Instead…
- Saudi G20 Presidency and the Bank for International Settlements (BIS) Innovation Hub invite global innovators to find solutions to the most pressing financial regulatory & supervisory challenges
News · 30 April 2020
The BIS Innovation Hub, through its Singapore Centre, and the Saudi G20 Presidency have published high-priority RegTech/SupTech operational problems and invite private firms to develop innovative…
- Project Aurora’s Vision for the Future of Financial Crime Prevention
Proof of concept (POC), Event · 9 May 2025
Project Aurora is pioneering data-driven approaches to combat financial crime through AI, privacy technologies and network analysis. Following positive reception of Phase 1, BIS Innovation Hub's head…
- Project Hertha: identifying financial crime patterns in real-time retail payment systems
Case study · 6 June 2025
The Bank for International Settlements (BIS) Innovation Hub's Project Hertha, conducted with the Bank of England, demonstrated how AI could identify financial crime patterns in retail payment systems…
- Reporting Entity System Transformation (REST) Program
Solution
Australia's financial intelligence agency, AUSTRAC, through the Reporting Entity System Transformation (REST) Program, is developing a modern, secure and intuitive experience that enables reporting…
- Singapore plans ‘whole-of-government data-sharing interface’ to tackle money laundering
News · 4 November 2024
Joint publication by Ministry of Finance, Ministry of Home Affairs, and MAS setting out Singapore's three-pillar national AML strategy (Prevent, Detect, Enforce). Introduces significant suptech…
- AML-Data-Public
Open Data
This AML data represents financial transactions -- bank transfers, purchases, credit card transactions, checks, etc. Most of the transactions are legitimate
- Prevention of criminal use of the banking system for the purpose of money-laundering
Standard or Guidance · 28 December 1998
The Committee emphasizes that although the Statement is not a legal instrument, it complements—rather than replaces—existing national AML requirements, some of which may be stricter. Its core message…
- Peer Review of Spain
Report · 18 November 2025
The report notes that Spain’s financial authorities – particularly Banco de España – have strengthened cyber-resilience supervision through risk-based oversight, early adoption of TIBER testing, and…
- Malaysia accelerates AI-driven AML transformation
News · 20 November 2025
With FATF’s 2025 mutual evaluation approaching and AMLA reforms raising compliance obligations, Malaysian banks are under pressure to strengthen governance, data transparency and monitoring…
- How agentic AI transforms anti-financial crime
News · 20 November 2025
A new SymphonyAI whitepaper argues that financial institutions are moving beyond manual, reactive AML processes toward interconnected AI-driven systems that detect risks earlier, automate up to half…
- How Estonian banks unite to fight financial crime
News · 20 November 2025
Estonia’s financial institutions have moved from informal communication channels to a structured, secure system—Salv Bridge—that enables near-real-time sharing of suspicious accounts, sanctions…
- AI and governance lead Australia’s AML overhaul
News · 19 November 2025
A webinar featuring leaders from AMP Bank, Deloitte and SymphonyAI outlined how new AML/CTF rules, scam controls and faster reporting requirements are driving a major transformation in Australia’s…
- Mekong nations unite to tackle cross-border scams
News · 18 November 2025
At a ministerial meeting in Kunming, China, officials from China, Cambodia, Laos, Myanmar, Thailand and Vietnam committed to deeper cooperation, including shared real-time data on mule accounts…
- AI-led compliance transforms financial crime prevention
News · 10 November 2025
It explains that AI systems can analyse large, complex datasets in real time to identify patterns linked to money laundering, fraud, and other financial-crime risks far more effectively than manual…
- A Roadmap to SupTech Solutions for Low Income (IDA) Countries
Report · 1 January 2020
- A3ML: Anticipatory and Adaptive Anti-Money Laundering
News · 12 March 2025
Money laundering poses a direct threat to both U.S. national security and global stability. Despite ongoing efforts, U.S. anti-money laundering systems remain hindered by manual processes and limited…
- AMLNet: A Knowledge-Based Multi-Agent Framework to Generate and Detect Realistic Money Laundering Transactions
Report · 15 September 2025
Anti-money laundering (AML) research is constrained by the lack of publicly shareable, regulation-aligned transaction datasets. We present AMLNet, a knowledge-based multi-agent framework with two…
- Bank Negara Malaysia (BNM) and Payments Network Malaysia (PayNet) set to roll out an AI fraud detection system in 2026
News · 6 October 2025
In response to the sharp rise in online scams, the BNM and PayNet are developing an AI-powered system to monitor and flag suspicious bank transfers in real time. Using machine learning, large…
- Bank Negara Malaysia (BNM) releases AI discussion paper for financial sector
Report · 5 August 2025
BNM has outlined its proposed approach for fostering responsible AI adoption across the financial sector to enhance consumer outcomes and broader policy objectives. The central bank is seeking…
- Cross-border Anti-Scam Collaboration Platform "FRONTIER+"
News · 4 June 2025
Frontier+ is a pioneering cross-border anti-scam platform launched in October 2024 to combat transnational fraud. It facilitates real-time intelligence sharing among law enforcement agencies across…
- Deep Learning-based Synthetic Data for Money Laundering Control Simulations
Report · 1 January 2022
The purpose of this paper is to generate statistically significant and consistent data, where the probabilistic benefits and the parameters for the generation of new information that facilitate the…
- Detecting Anomalous Cryptocurrency Transactions: an AML/CFT Application of Machine Learning-based Forensics
Report · 1 January 2021
This paper focuses on the growing relevance of these techniques in a domain where their deployment impacts the traits and evolution of the sphere. In particular, this work o ers contextualized…
- Digital fraud and banking: supervisory and financial stability implications
Report · 15 November 2023
The Basel Committee has issued a discussion paper on digital fraud and banking. This discussion paper provides a high-level assessment of the supervisory and financial stability implications of…
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