Neo4j Transaction Graph Demo: How to Uncover Fraud

In this demo, we explore how Neo4j’s graph database technology enables fast and intuitive detection of fraud rings and other suspicious patterns within complex transaction networks. You’ll see how a transaction graph can expose hidden relationships and circular money flows that are difficult to uncover with traditional tools. Using a real-time Cypher query, we demonstrate how fraud rings—often used in money laundering—can be detected quickly.

What you’ll learn:
– How graph models represent customers, accounts, and transactions
– What fraud rings look like in a transaction graph
– How to write a concise Cypher query to detect circular patterns
– Why Neo4j outperforms relational approaches in fraud detection scenarios

This hands-on demo highlights how organizations can reduce fraud risk and accelerate investigations using connected data and native graph analytics.

Learn more about Neo4j for fraud detection: https://bit.ly/4jDSy9t