No-code rules engine
Create and modify fraud detection rules without technical expertise. Adapt to new fraud patterns in minutes, not sprints.
FraudNet combines no-code rules, real-time risk scoring, and a global anti-fraud network so your team can cut fraud by 80% without a lengthy implementation.
See how fast your team can go live.
The toolkit
A single platform for fraud detection, entity risk, and compliance - designed for fast setup and business-user control.
Create and modify fraud detection rules without technical expertise. Adapt to new fraud patterns in minutes, not sprints.
Instant AI-powered assessment of transactions and users provides immediate fraud prevention before losses occur.
Collective intelligence shared across organizations gives you fraud pattern data far beyond your own experience.
Graph Neural Networks, Generative AI, and Supervised Machine Learning work together for sophisticated pattern recognition.
Outcomes feed back into the models continuously, so detection accuracy improves automatically as new patterns emerge.
Integrated AML and KYC verification, entity screening, and transaction monitoring keep you compliant across jurisdictions.
Customizable analytics and reporting interfaces deliver real-time insights tailored to how your team works.
End-to-end workflow management for fraud investigations and resolution tracking, all inside the same platform.
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Getting started
From first touch to real results, without the guesswork.
Collect real-time transaction and user data through APIs and SDKs connected to your existing systems.
Incoming data is enhanced with additional signals from the Global Anti-Fraud Network and third-party sources.
Graph Neural Networks and Generative AI models analyze patterns and relationships between entities in real time.
The decision engine combines ML outputs with your no-code rules to generate a risk score and trigger actions via webhooks.
The Learning Loop feeds outcomes back into the models, continuously refining accuracy without manual intervention.
Evidence
“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.”
Common questions
FraudNet is an enterprise-level fraud and risk management platform that combines AI-powered solutions for comprehensive fraud detection, compliance, and risk management with features like 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 technologies to enhance fraud prevention over time.
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 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.
The Global Anti-Fraud Network provides collective intelligence across the platform's user base, enabling shared insights and enhanced fraud prevention for all participants.
FraudNet offers AML and KYC verification, entity screening, and transaction monitoring as part of its integrated compliance suite.
Get started
Book a call and see how fast your team can deploy real-time fraud prevention with no-code rules and AI-powered scoring.
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