Real-time risk scoring
Instant AI-powered assessment of every transaction and user, so fraud is blocked before it completes.
AI-powered fraud detection with real-time risk scoring, a no-code rules engine, and a Global Anti-Fraud Network. Deploy in weeks, not months.
See how FraudNet fits your stack in a 30-minute walkthrough.
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What you get
One platform replaces fragmented tools for fraud, risk, and compliance teams.
Instant AI-powered assessment of every transaction and user, so fraud is blocked before it completes.
Business users create and modify fraud detection rules without engineering help, adapting to new patterns in minutes.
Collective intelligence shared across organizations surfaces fraud patterns you have not seen yet.
Graph Neural Networks, Generative AI, and supervised machine learning detect sophisticated patterns and entity relationships.
Outcomes feed back into models continuously, improving detection accuracy without manual retraining.
Integrated AML and KYC verification, entity screening, and transaction monitoring in one workflow.
Customizable analytics and reporting interfaces give your team real-time visibility into risk trends.
End-to-end workflow management for fraud investigations and resolution tracking, from alert to closure.
The shift
Most fraud systems were built for yesterday's threats. FraudNet adapts in real time.
The old way
The FraudNet way
How we compare
Getting started
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 entity relationships, combined with no-code rules to generate risk scores.
The decision engine returns risk scores through RESTful APIs and webhooks, enabling immediate approve, review, or block actions.
The Learning Loop feeds outcomes back into models, continuously refining accuracy so detection gets sharper over time.
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.”
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.
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.
FraudNet offers comprehensive compliance solutions including AML and KYC verification, 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 for all participants.
Next step
Book a 30-minute call to see how FraudNet deploys in weeks and starts reducing fraud fast.
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