- 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…
- FTS’s Strix anti-money laundering technology
Solution
FTS’s Strix anti-money laundering technology was selected by the Central Bank of Oman to automate its collection of bi-annual AML and countering the financing of terrorism returns from regulated…
- Global regulators warn against misuse of regtech tools
Blog · 22 September 2025
Regulators in the European Union, United Kingdom, and Nigeria are warning that poorly implemented regtech solutions are weakening compliance and exposing firms to risk. The European Banking…
- Machine Learning for Money Laundering Detection
Solution
AUSTRAC oversees the compliance of more than 15,000 reporting entities with their AML/CTF obligations, including reporting financial transactions and suspicious activity to AUSTRAC. AUSTRAC analyses…
- ML for Fraud Likelihood
Solution
Through a series of steps, the SEC is able to draw on machine learning applications to identify market misconduct and predict the likelihood of fraud. DERA – the Division of Economic and Risk…
- MuleHunter.ai
Solution · 10 December 2024
MuleHunter.AI, is an AI-powered tool to detect and flag mule accounts, helping reduce financial fraud and money laundering. Unlike traditional rule-based systems, MuleHunter.AI uses machine learning…
- ML for Fraud Likelihood
Speech
Through a series of steps, the SEC is able to draw on machine learning applications to identify market misconduct and predict the likelihood of fraud. DERA – the Division of Economic and Risk…
- Machine Learning for Money Laundering Detection
News
AUSTRAC oversees the compliance of more than 15,000 reporting entities with their AML/CTF obligations, including reporting financial transactions and suspicious activity to AUSTRAC. AUSTRAC analyses…
- FTS’s Strix anti-money laundering technology
News
FTS’s Strix anti-money laundering technology was selected by the Central Bank of Oman to automate its collection of bi-annual AML and countering the financing of terrorism returns from regulated…
- AUSTRAC unveils artificial intelligence (AI) transparency statement to combat financial crime
News · 28 March 2025
Australia's financial intelligence agency, AUSTRAC, has published its AI Transparency Statement, detailing how it employs AI to enhance detection of money laundering, terrorism financing and…
- Advanced Misconduct Detection
Speech
The SEC uses a sequential approach in some of its misconduct detection methods. The SEC ingests a large corpus of structured and unstructured data from regulatory filings of investment advisers into…
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