Accelerate fraud detection with graph databases

Fraud is costly and sophisticated. Graph databases natively store complex networks of transactions, accounts, people, and related data — enabling you to detect fraud in real time.

In this ebook, we cover design patterns like:

• Pattern matching: Identify fraudulent behavior by specifying and querying patterns in the graph.
• Pathfinding: Reveal hidden bad actors and indirect relationships in large datasets.
• Machine learning: Discover valuable relationships for feature engineering in fraud detection models.