Graph Neural Networks, Generative AI, and supervised ML work together to recognize complex fraud patterns and entity relationships that rules alone miss.
Stop chasing false positives. Catch real fraud.
FraudNet combines Graph Neural Networks, Generative AI, and a shared anti-fraud network so your team spends less time reviewing clean transactions and more time stopping actual threats.
Inside the product
Everything your risk team needs in one platform
Fraud detection, entity risk management, and compliance - unified under a single AI-driven architecture.
Custom Machine Learning Models
Graph Neural Networks, Generative AI, and supervised ML work together to recognize complex fraud patterns and entity relationships that rules alone miss.
No-Code Rules Engine
Business users create and modify fraud detection rules without engineering support, adapting to new schemes in minutes instead of sprint cycles.
Global Anti-Fraud Network
Collective intelligence shared across the platform's user base gives you visibility into fraud patterns and threat signals beyond your own data.
Learning Loop System
Every outcome feeds back into the models, continuously improving detection accuracy as new fraud tactics emerge.
Flexible Dashboards
Customizable analytics and reporting interfaces deliver real-time insights so analysts can monitor trends and respond immediately.
Case Management
End-to-end workflow management for fraud investigations and resolution tracking, keeping every case organized from alert to closure.
Entity Screening & Monitoring
Screen and monitor merchants, agents, and partners at the entity level - not just transactions - for proactive portfolio risk management.
Compliance Suite
Integrated AML and KYC verification tools with transaction monitoring built directly into the same platform as your fraud detection.
Trusted by leaders in payments, fintech, and financial services
Results
Teams growing with FraudNet
“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.”
Versus the old way
FraudNet vs. traditional fraud tools
Common questions
Common questions about FraudNet
What is FraudNet's core offering?+
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.
How does the Learning Loop system work?+
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.
What results can companies expect?+
Companies typically experience a 97% reduction in false positives, an 80% reduction in fraud, and a 20% boost in approval rates.
Which industries does FraudNet serve?+
FraudNet primarily serves Payments, Financial Services, Fintechs, and Commerce industries with customized fraud prevention and risk management solutions.
What AI technologies does FraudNet use?+
FraudNet uses Supervised Machine Learning, Graph Neural Networks, and Generative AI for advanced fraud detection and risk assessment.
Is technical expertise required to use the platform?+
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.
What compliance solutions are included?+
FraudNet offers AML and KYC verification, entity screening, and transaction monitoring - all integrated directly into the fraud detection platform.
Ready when you are
Ready to cut fraud by 80% and false positives by 97%?
Book a call with our team to see how FraudNet fits your transaction flow, compliance needs, and risk profile.
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