Plataforma de CTI Assíncrona focada em Crimes Financeiros (Pix/Cripto) e Compliance Regulatório (Lei 14.790). Powered by LangGraph & AsyncIO.

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.

An analysis of the released data on FinCrime Files transactions as depicted on SARs.

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.

AFiCATo - Anti Financial Crimes Analysis Tools

Some Deep Learning for Financial Crime Experiments

White-Collar-Criminals.com official website related to the criminal RICO case targeting McDonald’s Corporation.

This category delves into the world of criminal activity and justice analytics, using data to uncover hidden patterns and trends in areas such as drug trafficking, money laundering, fraud, cybercrime, and human trafficking.

SQL-based KYC & Risk Profiling Engine simulating bank-style customer risk assessment using rule-based AML logic and FATF-aligned risk indicators

SQL-based AML transaction monitoring engine simulating rule-based detection and alert generation.

False-Positive Reduction Lab : rule-based transaction monitoring with threshold tuning and cost trade-offs. Demonstrates how adjusting detection rules reduces noise, lowers investigation cost, and improves fraud catch.

JOBGUARD-UK is an automated cyber-intelligence system that actively hunts fake job campaigns across recruitment sites and Telegram. Using a fine-tuned BERT model and network graph analysis, it identifies crypto-mule schemes and organized fraud rings, generating actionable intelligence to disrupt financial crime

AML transaction monitoring analytics in PostgreSQL: rolling case assignment + KPI views + operational insights.

The ultimate Python package for Benford's Law analysis in forensic accounting and fraud detection

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.

AML AI Investigator is a pipeline and FastAPI service for AML case evidence packages, policy retrieval (local RAG), and structured LLM copilot summaries, built on Spark‑generated case packets with Docker deployment support.

Fuzzy matching for sanctions & PEP screening (OFAC list + Onboarding Customers) with Python, Streamlit dashboard - tests.

Dashboard-driven analysis of financial crime data (2012–2024) using Excel Power Query and visualization tools.

Professional toolkit for crypto investigations, AML/CTF intelligence, blockchain risk analysis, and compliance research.

Bank-grade AML risk scoring & transaction monitoring system with anomaly detection, aligned to FATF and RBI guidelines

Professional profile focused on AML, crypto compliance, blockchain investigations, and financial crime prevention.

FCC compliance analytics suite — sanctions screening, AML detection & management reporting built for Clearstream Banking S.A. (Deutsche Börse Group)

Practical repository for transaction monitoring scenarios, red flags, suspicious activity indicators, and AML-focused analytical review.

Financial Crime Screening MCP Server

Millennium Chambers is a leading team of barristers in London specialising in commercial litigation, financial crime, fraud, regulatory law, and complex legal disputes. Based at 3 Paper Buildings, Temple, London.

🧠 Uncover behavioral signals in transaction data to reveal fraud patterns and enhance financial crime detection through cognitive science insights.

Open-source fraud intelligence exchange: framework-agnostic threat paths mapped across CFPF, MITRE ATT&CK, F3, and Group-IB