Live Neo4j Demo: Using Graphs for Fraud Detection
Traditional fraud prevention measures focus on discrete data points such as specific accounts, individuals, devices, or IP addresses. However, today’s sophisticated fraudsters escape detection by forming fraud rings using stolen and synthetic identities. To uncover such fraud rings, it is essential to look beyond individual data points to the connections that link them.
Join our 30-minute demo in which Neo4j experts showcase how enterprise organizations use Neo4j to augment their existing fraud detection capabilities, combating a variety of financial crimes including first-party bank fraud, credit card fraud, ecommerce fraud, insurance fraud, and money laundering – all in real time.