FraudNet scores every transaction in real time with custom AI models and a no-code rules engine. Risk teams adapt to new fraud patterns the same day they appear.
Talk to a solutions advisor about your fraud and compliance stack.
Why now
Fraud patterns change weekly. Most detection systems take months to catch up.
The old way
The FraudNet way
The toolkit
One platform for detection, compliance and investigation, so decisions happen in one place, in real time.
Instant AI-powered assessment of transactions and users, so good customers pass and bad actors get stopped at the moment of risk.
Fraud and risk teams create and modify detection rules without engineering help, adapting to new fraud patterns the same day.
Graph Neural Networks, Generative AI and supervised machine learning trained on your data for sophisticated pattern recognition.
Detection outcomes feed back into the models continuously, so accuracy improves as new fraud patterns emerge.
Collective intelligence shared across the platform's user base, giving you fraud pattern visibility far beyond your own data.
Built-in AML and KYC verification, entity screening and transaction monitoring to meet regulatory requirements in one workflow.
Customizable analytics and reporting interfaces with real-time insights your team can shape without developers.
End-to-end workflow management for fraud investigations, from alert to resolution, inside the same platform.
Trusted by teams at
How it works
From first touch to real results, without the guesswork.
Transaction and user data flows in through APIs and SDKs as it happens, with no batch delays.
Incoming data is enhanced 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.
ML outputs combine with your no-code rules to generate a risk score, delivered to your systems via RESTful APIs and webhooks.
The Learning Loop feeds every outcome back into the models, so detection accuracy keeps climbing over time.
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.”
Good to know
Companies typically experience a 97% reduction in false positives, an 80% reduction in fraud, and a 20% boost in approval rates.
No. FraudNet features a low-code/no-code rules engine and flexible dashboards, so business users can build and adjust fraud detection rules without engineering support.
The Learning Loop continuously incorporates new data and outcomes back into the models using supervised machine learning, so detection accuracy adapts as fraud patterns change.
The platform combines Supervised Machine Learning, Graph Neural Networks and Generative AI for pattern recognition, entity relationship analysis and risk assessment.
FraudNet includes AML and KYC verification, entity screening and transaction monitoring, all integrated with the fraud detection workflow.
FraudNet serves Payments, Financial Services, Fintechs and Commerce, with fraud prevention and risk management customized to each industry.
It pools fraud patterns and insights across the platform's user base, giving every participant collective intelligence that goes beyond their own transaction history.
Ready when you are
Book a call and a solutions advisor will walk through your current fraud, risk and compliance workflow.
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