Synthetic Identities

Why Graph Neural Networks Catch the Fraud Rings Traditional Models Miss

Graph Neural Networks (GNNs) excel at detecting complex financial fraud by analyzing the relationships and networks fraudsters use, a capability traditional models miss. Unlike isolated transaction scoring, GNNs identify hidden patterns in interconnected accounts and fund flows, uncovering fraud rings and synthetic identities.