Connected Intelligence

By storing accounts, customers, devices, and merchants as a graph, Neo4j can analyze interconnected data in realtime, uncovering patterns, anomalies, and connections that may indicate stolen credentials, fraudulent activity, or potential AML compliance issues.

Analysis of claims, providers, agents, and policyholders can also uncover complex schemes including collusion rings and multi-stage scams. And with new gen AI tools, it can also uncover hidden insights and generate reports with little to no code.

Agile Integration

Neo4j integrates seamlessly with your existing banking infrastructure, scaling effortlessly and flexibly to manage fraud threats and compliance demands. It maps constantly evolving regulatory requirements and maintains clear data lineage for auditing — helping you achieve comprehensive compliance and reduce the risk of fines.

A flexible, developer-friendly architecture runs in the cloud or on-premises so you can continuously add new data and adapt your graph. And a simple customization framework lets you tailor rules and algorithms to your organization, risk appetite, and domain.