Ingest and enrich
Real-time transaction and user data flows in through APIs and SDKs, enriched with signals from the Global Anti-Fraud Network and third-party sources.
FraudNet replaces rigid rule engines with adaptive AI that scores risk in real time. Legitimate transactions pass through. Fraud gets caught. Approval rates go up.
See how FraudNet fits your stack in a 30-minute walkthrough.
Trusted by leaders in payments, fintech, and banking
The flow
From first touch to real results, without the guesswork.
Real-time transaction and user data flows in through APIs and SDKs, enriched with signals from the Global Anti-Fraud Network and third-party sources.
Graph Neural Networks and Generative AI models analyze patterns and relationships between entities to surface anomalies and fraud rings.
The decision engine combines ML model outputs with your no-code rules to generate a risk score and trigger real-time actions via RESTful APIs and webhooks.
The Learning Loop feeds outcomes back into the models, continuously refining accuracy so detection gets sharper over time.
The toolkit
No stitching together point solutions. FraudNet covers detection, entity risk, and regulatory compliance end to end.
Instant AI-powered assessment of every transaction and user, so fraud is caught before it settles.
Business users create and modify fraud detection rules without engineering support, adapting to new patterns in minutes.
Graph Neural Networks, Generative AI, and supervised ML analyze entity relationships and detect sophisticated fraud rings.
Outcomes feed back into the models continuously, improving detection accuracy as new fraud patterns emerge.
Collective intelligence shared across the platform's user base gives you visibility beyond your own data.
Built-in AML and KYC verification, entity screening, and transaction monitoring keep you ahead of regulatory requirements.
Customizable analytics and reporting interfaces deliver real-time insights tailored to your team's workflow.
End-to-end workflow management for fraud investigations, from alert to resolution, in a single interface.
The difference
Good to know
FraudNet is an enterprise-level fraud and risk management platform combining AI-powered fraud detection, compliance, and risk management with a no-code rules engine and real-time monitoring.
The Learning Loop continuously incorporates new data and outcomes to refine detection accuracy, using supervised machine learning and advanced AI to adapt to emerging fraud patterns.
Companies typically see a 97% reduction in false positives, an 80% reduction in fraud, and a 20% boost in approval rates.
FraudNet primarily serves Payments, Financial Services, Fintechs, and Commerce with customized fraud prevention and risk management solutions.
FraudNet employs Supervised Machine Learning, Graph Neural Networks, and Generative AI for advanced fraud detection and risk assessment.
No. FraudNet features a low-code/no-code rules engine and flexible dashboards, making it accessible for business users while maintaining powerful capabilities.
FraudNet offers integrated AML and KYC verification, entity screening, and transaction monitoring as part of its compliance suite.
Move forward
Book a 30-minute call to see how FraudNet's AI-powered detection fits your transaction volume and compliance needs.
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