1) Traditional fraud detection methods like analyzing endpoints, navigation behavior, and accounts discretely are unable to detect modern complex fraud schemes. 2) Connected analysis using graph databases can model relationships between entities to detect organized fraud rings and synthetic identities in real-time. 3) A demo showed how Neo4j augments existing fraud detection systems by performing sub-second connected analysis of user transactions to quickly identify fraudulent patterns and adapt to new fraud methods.