FraudGraph

The problem Fraud has industrialized, and the shift to instant, irreversible rails raises the stakes of authorized-push-payment scams. Signals sit in silos: cards, emails, devices, IPs, and beneficial-ownership data are rarely reasoned over together. What teams built A knowledge-graph fraud and KYC layer that resolves entities across payment and identity data, applies graph analytics or a graph neural network to surface fraud rings, and grounds an AI agent so it reasons over connected entities rather than isolated transactions. Partner ROI A materially stronger detection prototype, an explainable KYC/AML link-analysis view for regulators, and a template for grounding automated decisions. Skills proven Graph analytics, entity resolution, ML and GNNs, fraud and financial-crime domain knowledge, responsible-AI grounding.