A free cryptowallet risk scoring tool with fully explainable scoring.
Anti Money Laundering Detection using Graph Attention Network
Open-source, real-time Anti-Money Laundering (AML) and Fraud Transaction Monitoring.
Using GCN/GAT with keras to detect money laundering in the Bitcoin Blockchain, using the Elliptic Dataset.
This repo demonstrates a bank’s transaction clearing process, utilizing generative AI for real-time fraud detection and AML compliance, enhancing the detection of evolving fraudulent techniques.
TNO PET Lab - secure Multi-Party Computation (MPC) - Protocols - Secure Risk Propagation
AML Checker detection and analysis tools for cryptocurrency transactions using machine learning and blockchain data. Ensuring compliance and reducing money laundering risks.
An implementation of FOREST in solidity.
Personal take on GraphDB + AML with AWS Neptune + Glue + Lambda.
Utilize the machine Learning to classify transactions as fraudulent(1) or non-fraudulent(0).
玉山人工智慧公開挑戰賽2020夏季賽 - NLP應用挑戰賽
Official AMLTRIX Data Exports – Versioned STIX 2.1 bundles, CSVs, XLSX files, and ATT&CK Navigator layers representing the latest AMLTRIX knowledge graph of adversarial behaviors in financial crime. See framework.amltrix.com for methodology and usage.
OpenAML, developed by Team CypherSentinel, was the winning project of the DTCC AI Hackathon
A production-ready AML compliance platform that uses machine learning and AI to detect financial crimes in real-time. Built with microservices architecture, it analyzes transaction patterns, screens against sanctions lists, and automatically generates regulatory reports using OpenAI integration.
This project uses data from Flashback Forum to map crimes and their locations in Sweden by analyzing user-generated posts and discussions as an unfiltered alternative to traditional sources.
Identity verification plugin for WordPress
Data science projects at Aboitiz
XmlGoaml is a .NET project designed for processing XML data with advanced validation against XSD schemas, specifically targeting reports related to financial intelligence and suspicious activity reporting, aligned with the goAML standards.
A Multi-Agent RAG platform using Vector DBs and AI models to accurately answer AML/FT compliance queries.
Add a description, image, and links to the anti-money-laundering topic page so that developers can more easily learn about it.
To associate your repository with the anti-money-laundering topic, visit your repo's landing page and select "manage topics."