- Unstable coins: cryptoassets, financial regulation and preventing financial crime in the emerging market for digital assets
Speech · 6 March 2020
In this 2020 speech, Therese Chambers, the FCA’s Director of Retail and Regulatory Investigations, addresses the unique challenges posed by cryptoassets (such as Bitcoin and Ethereum) in the context…
- Marzunisham Omar: A safer Malaysia - unmasking crime with a strong AML/CFT regime
Speech · 24 July 2023
In this strategic address at the SSM National Conference 2023, Deputy Governor Marzunisham Omar highlights the escalating cost and complexity of financial crimes in Malaysia. He notes that high-risk…
- Project Hertha: Identifying financial crime patterns in real-time retail payment systems
Solution
Protecting payment systems from financial crime, while upholding user privacy, is an important challenge in delivering the future of payments. Building on the findings from Project Aurora, BIS…
- AI for Risk-Based Supervision: Another Nice to Have Tool or a Game-Changer
Report · 27 February 2025
AI represents a potential paradigm shift for financial sector supervision, moving beyond mere automation to enable previously impossible processes. This paper examines AI's impact on risk-based…
- AI PoC for information sharing
Solution
In order to facilitate data sharing consistent with DPP regulations, Japan has developed a unique proof of concept (POC) project, which includes participation from several Japanese FIs, supported by…
- AI-driven synthetic data to improve money laundering detection
Solution
The Alan Turing Institute, Plenitude Consulting, Napier AI and the Financial Conduct Authority (FCA) today announce a new project aimed at improving money laundering detection through the creation of…
- AML risk management platform for crypto and blockchain assets.
Solution
With the use of advanced blockchain-native the HM Government of Gibraltar through the Financial Services Commission, collaborated with Coinfirm, a SupTech vendor, to implement an AML platform to help…
- AMLSim
Open Code
This project's goal is to construct a multi-agent simulator dedicated to anti-money laundering (AML) and provide access to synthetically generated data. The aim is to enable researchers to devise and…
- AUSTRAC pioneers digital data-sharing channel with major banks to combat money laundering
Solution, News · 31 March 2025
AUSTRAC has launched a secure digital channel to exchange financial intelligence with Australia's four major banks through its Collaborative Analytics Hub. The initiative transformed ATM and…
- Bank for International Settlements Innovation Hub (BISIH) announces 2025 analytics challenge to combat financial crime.
Event, News · 13 December 2024
The BISIH is inviting participants to develop innovative, cost-effective solutions for detecting illicit activities and enhancing global financial system integrity. Given the $3 trillion in money…
- Blockchain researchers use AI to spot cryptocurrency money laundering
News · 2 May 2024
Researchers from Elliptic, IBM Watson and MIT have explored subgraph representation learning in the context of complex networks, specifically focusing on analysing local structures (or shapes) within…
- The transformative power of innovation in the financial system.
Speech · 4 September 2024
Central banks have a duty to innovate and build technology - Cecilia Skingsley, Head of the BIS Innovation Hub. Speaking at the opening of the Bank of Mauritius Innovation Hub, Skingsley underscored…
- Frameworks for effective fraud prevention measures
Speech · 17 September 2024
Collaboration and collective effort are key to tackling fraud - Andrea Bowe, FCA’s director of the specialist directorate. In her speech at the Westminster Legal Policy Forum Keynote Seminar, Bowe…
- Data analytics tools for supervising money services businesses
Solution
Bank Negara Malaysia has developed advanced tools leveraging natural language processing and machine learning to enhance supervision of the money services business (MSB) sector, which is particularly…
- Data Silos Must Fall to Combat Converging Financial Crime Types: Experts
Blog, Event · 12 June 2025
Financial crime experts at a Quantexa and Regulation Asia roundtable, held on the sidelines of the Fraud and Financial Crime Asia 2025 forum, emphasised that traditional distinctions between…
- ECB Banknotes statistics
Open Data
Banknotes statistics refer to data on outstanding amounts (stocks) and transactions (flows) of euro banknotes and coins, divided into: issued into circulation, returned from circulation, sorted to…
- Elliptic Plusplus
Open Code
This repository introduces a comprehensive applied data science approach to Bitcoin network fraud detection, leveraging the Elliptic++ dataset. Utilizing graph data, the repository employs four graph…
- Elliptic++
Open Data
The Elliptic++ dataset consists of 203k Bitcoin transactions and 822k wallet addresses to enable both the detection of fraudulent transactions and the detection of illicit addresses (actors) in the…
- FinTracer: A privacy-preserving mechanism for tracing electronic money.
Training · 15 July 1905
Three researchers affiliated with AUSTRAC have introduced the FinTracer algorithm that allows financial intelligence analysts to trace the flow of funds in suspicious transactions across financial…
- Flowscope
Open Code
FlowScope is developed for ML detection based on multipartite graph, which models the high-volume flows of funds through chains of bank accounts, and detects the complete flow of money from source to…
- Fostering innovation in money laundering detection through synthetic data: a project update
Blog, News · 25 June 2025
The Alan Turing Institute updates progress on anti-money laundering (AML) and synthetic data project. The collaborative initiative with the Financial Conduct Authority (FCA), Plenitude Consulting…
- Global quarterly financial regulatory highlights report releases second edition covering Q2 financial regulatory and suptech developments
Report · 30 June 2025
The comprehensive 25+ page report, powered by Regxplora intelligence platform, provides a synthesis of major policy priorities and supervisory attention points across multiple thematic areas.…
- Heavy Nodes in a Small Neighborhood: Algorithms and Applications
Open Code
researchers from King's College have released an open-source code repository aimed at detecting suspicious AML activity by analyzing interrelated transactions to identify patterns consistent with…
- Machine learning for anomaly detection in money services business outlets using data by geolocation
Report · 29 November 2024
Since 2017, licensed money services business (MSB) operators in Malaysia report transactional data to the Central Bank of Malaysia on a monthly basis. The data allow supervisors to conduct off-site…
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