Real-Time Fraud Detection Graph Database
Identifying syndicated fraud rings that utilize synthetic identities across multiple accounts.
A digital payment processor handling millions of daily transactions.
Graph Database Schema Design
Real-Time Transaction Ingestion
Link Analysis Visualization
1
Traditional rule-based systems missing sophisticated rings
2
High false positive rates blocking legitimate users
3
Slow investigation times
Detected
$50M in previously hidden fraud
Reduced
false positives by 40%
Investigation
time cut from days to minutes
Implemented a graph database to map relationships between users, devices, and transactions, revealing hidden connections.
Neo4jCypherJavaKafka
