No-code rules engine
Business users create and modify fraud detection rules without technical expertise, adapting to new fraud patterns in minutes.
FraudNet combines Graph Neural Networks, Generative AI, and a global anti-fraud network to score risk in real time. Your team adapts rules in minutes with no code.
Capabilities
A multi-layered architecture that ingests, enriches, scores, and learns from every transaction.
Business users create and modify fraud detection rules without technical expertise, adapting to new fraud patterns in minutes.
Instant AI-powered assessment of transactions and users provides immediate fraud prevention at the point of action.
Collective intelligence shared across organizations gives you fraud pattern data far beyond your own experience.
Maps relationships between entities to uncover coordinated fraud rings and hidden connections that rules alone miss.
Continuously feeds outcomes back into models so detection accuracy improves with every transaction processed.
Customizable analytics and reporting interfaces deliver real-time insights tailored to your team's workflow.
Screen and monitor entities across your ecosystem with integrated AML and KYC verification tools.
End-to-end workflow management for fraud investigations and resolution tracking, all in one platform.
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How it works
A clear path from first step to measurable outcome.
Collect real-time transaction and user data through APIs and SDKs, then enhance it 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 identify fraud others miss.
The decision engine combines ML model outputs with your no-code rules to generate risk scores and trigger real-time actions via APIs and webhooks.
The Learning Loop feeds every outcome back into the models, continuously refining detection accuracy as new fraud patterns emerge.
Proof
“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.”
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Common questions
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 adapts and improves detection accuracy by incorporating new data and patterns, using supervised machine learning and advanced AI to enhance fraud prevention over time.
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 users without technical expertise while maintaining powerful capabilities.
FraudNet offers integrated AML and KYC verification, entity screening, and transaction monitoring as part of its compliance suite.
Get started
Book a call with our team to see how FraudNet fits your fraud, risk, and compliance workflow.
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