Firms in the financial services industry need a technology powered by data connections to tackle anti-money laundering challenges, as traditional methods are not designed to connect the dots across multiple intermediate steps. Financial services enterprises are using graph technology, specifically Neo4j, to model companies, accounts, and transactions as a graph to discover instances of money laundering. This allows AML teams to track how and where funds are moving through automated Cypher queries that map to traditional money laundering behaviors. The use of Neo4j has been successfully implemented by one of the world's largest money transfer companies, which moves approximately $600 billion each year, enabling it to comply with stringent anti-money laundering requirements and set a benchmark for investigatory compliance across its industry. By connecting the dots across the globe and across data centers, Neo4j helps create a sustainable competitive advantage over money launderers who would use financial services firms for criminal gain.