Sub-20ms transaction risk evaluation with graph neural networks, stopping account takeover and mule networks with near-zero checkout friction.
Modern financial platforms face sophisticated cyber threats including syndicated account takeovers (ATO), synthetic identities, and rapid money mule networks engineered to siphon stolen funds across accounts before manual detection. The central challenge is evaluating every incoming transaction in milliseconds without injecting friction that disrupts legitimate users.
Built an ultra-low latency risk evaluation pipeline powered by an in-memory real-time feature store and Graph Neural Networks (GNN). The system correlates behavioral telemetry, device fingerprints, and cross-account topology in real time. Transactions are scored in sub-20ms, routing suspicious actions into adaptive step-up authentication while letting 98%+ of legitimate transactions pass friction-free.
Whether building a startup MVP or leading an enterprise platform, our systems architects are ready to review your project.