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
A curated list of tools, datasets and resources for financial crime compliance, AML, fraud, sanctions, KYC and surveillance.
Some Deep Learning for Financial Crime Experiments
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.
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.
Brandon Candela | AML adverse media screening, identity matching, SQL analysis and QC review. Public educational demo for individuals and businesses.
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.
Advanced EDA for money mule account detection in banking data. 7.4M transactions, multi-table analysis, behavioral pattern profiling. RBIH x IIT Delhi National Fraud Prevention Challenge Phase 1.
Real-time fund tracking and fraud detection platform with AI alerts, graph tracing, STR workflows, and banking analytics.
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.
Open AML agent framework for local, human-supervised AML/KYC/KYB workflows
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.
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