Plataforma de CTI Assíncrona focada em Crimes Financeiros (Pix/Cripto) e Compliance Regulatório (Lei 14.790). Powered by LangGraph & AsyncIO.
Reproducible benchmark for sanctions name-screening effectiveness. Measures recall across 18 documented classes of name variation — transliteration, Unicode homoglyph evasion, OCR degradation — with synthetic negative controls
A deep exploration of how human psychology shapes fraud behavior and how those patterns become measurable signals in transaction data. This article reveals the behavioral, cognitive, and economic forces behind fraud, explaining how ML models detect deviations, anomalies, and intent hidden within financial transactions.
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.
An analysis of the released data on FinCrime Files transactions as depicted on SARs.
AFiCATo - Anti Financial Crimes Analysis Tools
Some Deep Learning for Financial Crime Experiments
A curated list of tools, datasets and resources for financial crime compliance, AML, fraud, sanctions, KYC and surveillance.
Open-source Python toolkit for AML detection and financial crime analytics — transaction graph analysis, anomaly scoring, SAR pattern matching, and SQL helpers for BSA/FinCEN compliance.
Agentic AI co-pilot for crypto-exchange financial crime investigations: entity-network mapping, RFI contradiction checks (roadmap), and regulator-grounded SAR drafting over a tamper-evident audit trail. Synthetic-data research prototype.
Financial crime investigation platform that detects suspicious transactions, analyzes transaction networks using graph analytics, and generates Suspicious Activity Reports (SAR) through an interactive investigation dashboard.
Open-source fraud intelligence exchange: 86 threat paths, 141 fraud types, and 36 baselines mapped across 7 frameworks — with STIX 2.1, MISP, TAXII exports and an MCP server for AI-assisted analysis. Detection rules at elchacal801/flame-detections.
White-Collar-Criminals.com official website related to the criminal RICO case targeting McDonald’s Corporation.
Agentic AI Fraud Intelligence Platform with Multi-Agent Collaboration, RAG, Real-Time Risk Scoring, AML/KYC Compliance, Financial Crime Detection and Explainable AI Workflows.
Graph-neural-network fraud detection for UPI payment graphs: catches mule accounts and coordinated fraud rings that per-transaction rules miss. Synthetic benchmark data via SantanderAI/gen-fraud-graph.
Real-time fund tracking and fraud detection platform with AI alerts, graph tracing, STR workflows, and banking analytics.
Scam awareness app, contains 6 distinct categories with each consisting of 9 yes/no questions. The results can vary between low/medium/high risk depending on what the user selects.
Indonesian suspicious-account intelligence platform for crawling gambling sites and mapping payment networks.
SQL-based KYC & Risk Profiling Engine simulating bank-style customer risk assessment using rule-based AML logic and FATF-aligned risk indicators
An experimental framework for evaluating AML investigation agents across grounding, safety, context engineering, compliance, and governance.
Add a description, image, and links to the financial-crime topic page so that developers can more easily learn about it.
To associate your repository with the financial-crime topic, visit your repo's landing page and select "manage topics."