FraudNet's no-code rules engine and AI-powered risk scoring go live fast. Teams cut false positives by 97% and fraud by 80% without a long implementation cycle.
See how fast your team can go live.
The shift
Most fraud platforms demand heavy integration work and technical specialists before you see a single decision. FraudNet is built for fast adoption.
The old way
The FraudNet way
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Capabilities
A no-code interface for business users, advanced AI under the hood, and compliance built in.
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 the platform's user base 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 keeps improving as new fraud tactics appear.
Integrated AML and KYC verification, entity screening, and transaction monitoring keep you compliant across jurisdictions.
Customizable analytics and reporting interfaces deliver real-time insights without requiring a data team to build them.
End-to-end workflow management for fraud investigations and resolution tracking, all inside the same platform.
Results
“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.”
Getting started
Start fast and see the difference within weeks.
FraudNet ingests real-time transaction and user data through APIs and SDKs, then enriches 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, combining outputs with your no-code rules in the decision engine.
The decision engine generates a real-time risk score and returns it to your systems through RESTful APIs and webhooks for immediate action.
The Learning Loop feeds outcomes back into the models, continuously refining accuracy so your detection improves without manual tuning.
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, utilizing supervised machine learning and advanced AI technologies to enhance fraud prevention capabilities.
Companies typically experience a 97% reduction in false positives, an 80% reduction in fraud, and a 20% boost in approval rates through FraudNet's solutions.
FraudNet primarily serves Payments, Financial Services, Fintechs, and Commerce industries with customized fraud prevention and risk management solutions.
No. FraudNet features a low-code/no-code rules engine and flexible dashboards, making it accessible for users without technical expertise while still maintaining powerful capabilities.
FraudNet offers comprehensive compliance solutions including AML and KYC verification, along with entity screening and transaction monitoring.
The Global Anti-Fraud Network provides collective intelligence across the platform's user base, enabling shared insights and enhanced fraud prevention capabilities for all participants.
Move forward
Book a call with the FraudNet team to see how fast your organization can go live with AI-powered risk scoring and no-code rules.
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