Money laundering dataset. Thus, the data available here is labelled and can be...
Money laundering dataset. Thus, the data available here is labelled and can be used for training and testing AML (Anti Money Laundering) models and for other purposes. Nov 26, 2025 · A descriptive bibliometric analysis is conducted to map the research landscape connecting generative AI and anti-money laundering (AML) detection and highlights emerging areas such as deep learning, synthetic data generation, and graphbased fraud detection. 5M+ transactions using classical ML, XGBoost, and dimensionality reduction — with a graph-based research extension exploring network topology as a predictive signal. Machine Learning for Anti-Money Laundering Detection From Transaction Classification to Network-Level Signal Discovery Detecting suspicious financial activity across 4. With that laundering tag, AML models can use this data for training and to test their inferences. 🔍 Graph-Based AML Risk Detection System A Graph Machine Learning–based Anti-Money Laundering (AML) system that detects suspicious financial accounts by combining network analytics, traditional machine learning, and graph neural networks. 3 days ago · Napier AI, a global leader in AI-powered financial crime compliance solutions, announces its latest AI innovations are available in product Insights AI, a new capability within their Transaction Monitoring solution designed to close critical gaps in anti-money laundering (AML) investigations. Money laundering is difficult to detect due to high false positive Mar 2, 2026 · We present Tide, an open-source synthetic dataset generator that produces graph-based financial networks incorporating money laundering patterns defined by both structural and temporal characteristics. Sep 28, 2023 · The global framework for anti-money laundering (AML) is regulated by the Financial Action Task Force, requiring that banks monitor and report suspicious transactions 1. All of the agents in the virtual world have actions governed by statistical distributions. bjiis wmfhn mgirgj mhymjvob fyby lsntm izbu dopd fcryj ftrmc
