Connect your data
Ingest real-time transaction and user data through APIs and SDKs. FraudNet enriches it with signals from the Global Anti-Fraud Network and third-party sources.
FraudNet deploys in weeks, not months. No-code rules, real-time risk scoring, and AI that learns from every transaction so your team starts catching fraud faster.
See how fast your team can go live.
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Ingest real-time transaction and user data through APIs and SDKs. FraudNet enriches it with signals from the Global Anti-Fraud Network and third-party sources.
Graph Neural Networks and Generative AI models analyze patterns and entity relationships. The no-code rules engine combines with ML outputs to generate a risk score.
Real-time risk scores route through RESTful APIs and webhooks to your systems for immediate action - approve, review, or block.
The Learning Loop feeds outcomes back into the models, continuously refining accuracy as fraud tactics evolve.
Business users create and modify fraud detection rules without writing code, so your team adapts to new threats in minutes.
AI-powered analysis scores every transaction and user instantly, stopping fraud before it settles.
Collective intelligence shared across the platform's user base gives you visibility into threats you have not seen yet.
Graph Neural Networks, Generative AI, and supervised machine learning detect complex patterns and entity relationships.
Outcomes feed back into the models automatically, so detection accuracy improves with every transaction processed.
AML, KYC verification, entity screening, and transaction monitoring are integrated - no separate compliance stack required.
Customizable analytics and reporting surfaces give your team real-time visibility into risk trends and operational metrics.
End-to-end workflow tools manage fraud investigations and resolution tracking from alert to closure.
“FraudNet flexibility has helped our AfterPay business grow by allowing us to meet our increasingly complex customer and country requirements.”
“FraudNet's combination of customized machine learning and flexible rules management has been transformative.”
FraudNet is designed for rapid deployment. Most teams onboard in weeks, not months, with pre-built integrations and a no-code rules engine that requires no engineering work to get started.
No. The no-code rules engine and flexible dashboards are built for business users. Your fraud team can create and modify detection rules without writing code.
Companies typically experience 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 uses Supervised Machine Learning, Graph Neural Networks, and Generative AI for advanced pattern recognition and entity-level risk assessment.
The Global Anti-Fraud Network pools fraud patterns and insights across multiple organizations, giving every participant visibility into threats beyond their own data.
FraudNet includes AML, KYC verification, entity screening, and transaction monitoring as part of the integrated platform.
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Book a 30-minute call to see how quickly your team can deploy FraudNet and start reducing fraud losses.
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