AI-powered risk scoring, entity screening, and compliance tools that deploy fast and adapt continuously. Cut fraud by 80% while boosting approval rates by 20%.
See how fast your team can go live
Trusted by teams at
Why change
Point solutions create integration headaches, high false positives drain revenue, and manual reviews can't keep pace with evolving tactics.
The old way
The FraudNet way
Getting started
A simple route from setup to steady output.
Collect real-time transaction and user data through APIs and SDKs, then enrich 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 to identify fraud signals.
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 improving detection accuracy as new fraud patterns emerge.
The toolkit
An end-to-end platform that replaces fragmented tools with one fast-deploying system.
Instant AI-powered assessment of every transaction and user, stopping fraud before it completes.
Business users create and modify fraud detection rules without engineering support, adapting to new patterns in minutes.
Graph Neural Networks, Generative AI, and Supervised Machine Learning detect sophisticated patterns and entity relationships.
Collective intelligence shared across organizations gives you fraud pattern data far beyond your own transactions.
Continuous feedback from outcomes refines model accuracy over time, so detection improves automatically.
Integrated AML and KYC verification, entity screening, and transaction monitoring in one platform.
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, from alert to closure.
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.”
Answers
FraudNet is designed for rapid implementation. With pre-built integrations like the TSYS connector, teams can onboard in weeks, not months, with minimal development required.
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 no-code rules engine and flexible dashboards, making it accessible for business users without technical expertise while still maintaining powerful capabilities.
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 integrated AML and KYC verification, entity screening, and transaction monitoring capabilities within the same platform.
FraudNet primarily serves Payments, Financial Services, Fintechs, and Commerce industries with customized fraud prevention and risk management solutions.
Get started
Book a call to see how FraudNet deploys fast and cuts fraud by 80%.
Book a call