Real-time AI risk scoring deployed in weeks, not months. Cut false positives by 97% and fraud by 80% while boosting approval rates by 20%.
Why now
Legacy systems drown teams in false positives and manual reviews. FraudNet replaces them with real-time AI that learns and adapts.
The old way
The FraudNet way
Trusted by teams at
The toolkit
A single platform combining AI models, compliance tools, and collective intelligence so your team moves from signal to decision in seconds.
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 writing code, adapting to new threats in minutes.
Graph Neural Networks, Generative AI, and supervised machine learning detect complex patterns and entity relationships.
Detection accuracy improves continuously as outcomes feed back into the models, keeping you ahead of evolving tactics.
Collective intelligence shared across the platform's user base gives you fraud pattern data far beyond your own experience.
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 your team's workflow.
End-to-end workflow management for fraud investigations and resolution tracking, all in one platform.
Outcomes
“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.”
The flow
A simple route from setup to steady output.
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 relationships between entities to surface risk.
The decision engine combines ML model outputs with your no-code rules to generate a risk score and trigger real-time actions via APIs and webhooks.
The Learning Loop feeds outcomes back into the models, continuously refining detection accuracy as new fraud patterns emerge.
Good to know
FraudNet is an enterprise-level fraud and risk management platform that combines AI-powered solutions for 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 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.
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.
No. FraudNet features a low-code/no-code rules engine and flexible dashboards, making it accessible for business users while maintaining powerful capabilities.
Get started
Book a call with our team to see how FraudNet deploys in weeks and starts reducing false positives immediately.
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