Introducing Neo4j GraphAware Financial Crime Intelligence

Move from fragmented data to connected intelligence, for better detection, deeper investigations, and defensible decisions. Financial crime is connected. The teams fighting it are not. Fraudsters operate as connected networks. They layer activity across accounts and transactions, move between identities and devices, and adapt as soon as controls catch up, hiding their behavior across weak, distributed signals. But financial crime teams work with incomplete data in siloed tools. They see isolated events, not the whole scheme, and lose the intelligence picture across system and team boundaries. The result? Important signals go unnoticed until after the damage is done. That’s the problem Neo4j GraphAware Financial Crime Intelligence is designed to solve. GraphAware Financial Crime Intelligence provides one connected, graph-native foundation for modern financial crime operations. It unifies data and intelligence across teams and systems, detects connected behavior across entities, transactions, and relationships,…