AI-powered fraud detection through advanced graph analysis. Connect devices, accounts, and transactions to identify fraud rings in real-time.
Four pillars of advanced graph-based fraud prevention
Track and correlate devices across sessions using advanced fingerprinting technology. Identify suspicious patterns and device spoofing attempts.
Discover hidden relationships between accounts through shared attributes, behavioral patterns, and network analysis.
Map transaction flows to identify money laundering, payment fraud, and suspicious fund movement patterns.
Identify organized fraud rings through graph clustering algorithms. Block threats instantly before they cause damage.
From data ingestion to real-time fraud prevention
Ingest device signals, user behaviors, and transaction data from multiple touchpoints.
Build dynamic relationship graphs connecting entities through shared attributes and behaviors.
Apply machine learning models to detect anomalies, patterns, and fraud indicators in the graph.
Instantly block fraudulent transactions and alert security teams with actionable insights.
Protecting financial institutions and e-commerce platforms worldwide
Prevent account takeovers, card fraud, and money laundering in banking, payments, and fintech applications.
Stop coupon abuse, fake reviews, return fraud, and account farming to protect your marketplace integrity.
Join leading organizations using FraudGraph AI to protect their business. Schedule a personalized demo today.