Learn how Graph Databases offer new methods of uncovering fraud rings and other sophisticated scams with a high-level of accuracy, and are capable of stopping advanced fraud scenarios in real-time.

This white paper discusses some of the common patterns that appear in three of the most damaging types of fraud:

  • First-Party Bank Fraud
  • Insurance Fraud
  • e-Commerce Fraud

Fraud Detection using graph visualization to quickly identify what a person controls.

Who Controls What

Fraud Detection: Discovering Connections with Graph Databases

by Gorka Sadowski, CISSP, akalak  and Philip Rathle, Neo Technology

Neo4j Use Case Fraud Detection White Paper
Learn about how graph databases like Neo4j excels at fraud analysis and detection.