Banks and Insurance companies lose billions of dollars every year to fraud. Traditional methods of fraud detection play an important role in minimizing these losses. However increasingly sophisticated fraudsters have developed a variety of ways to elude discovery, both by working together, and by leveraging various other means of constructing false identities.

Graph Databases are the ideal enabler for efficient and manageable fraud detection solutions. From fraud rings and collusive groups, to educated criminals operating on their own, graph databases provide a unique ability to uncover a variety of important fraud patterns, in real time. Collusions that were previously hidden become obvious when looking at them with a system designed to manage connected data, using real-time graph queries as a powerful tool for detecting a variety of highly-impactful fraud scenarios.