Stop Fraud Rings in Their Tracks with Graph Databases [Infographic]

Stop Fraud Rings in Their Tracks with Graph Databases [Infographic]` First-party bank fraud and insurance fraud cost billions of dollars annually, while ecommerce fraud rings rack up nearly $4 billion in fraudulent charges each year. The stakes are high, but traditional fraud analytics often overlook sophisticated and organized fraud ring activity that appears normal on the surface. However, graph databases like Neo4j can help detect and prevent such behaviors in real-time by analyzing connections between individuals, devices, and transactions. This infographic highlights the power of graph databases for real-time fraud detection, and a white paper provides more information on how to harness this technology for effective fraud prevention.

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