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The case for change
They let new fraud patterns through while flagging your best customers as threats.
The old way
The FraudNet way
Getting started
From first touch to real results, without the guesswork.
Collect real-time transaction and user data through APIs and SDKs.
Enhance incoming data 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 model outputs combine with the no-code rules engine to generate risk scores in real time.
The Learning Loop feeds outcomes back into the system, improving model accuracy over time.
Capabilities
Fraud detection, entity risk management, and compliance working together instead of in silos.
Instant AI-powered assessment of transactions and users, with anomaly detection that flags threats the moment they appear.
Business users create and modify fraud rules without technical expertise, so you adapt to new fraud patterns in hours, not sprints.
Graph Neural Networks, Generative AI, and supervised machine learning built for your data and your fraud patterns.
Every outcome feeds back into the models, continuously improving detection accuracy as fraud tactics evolve.
Collective intelligence pooled across the FraudNet user base, giving you fraud pattern visibility far beyond your own data.
AML and KYC verification, entity screening, and transaction monitoring integrated directly into your fraud workflow.
Customizable analytics and reporting interfaces with real-time insights for fraud, risk, and compliance teams.
End-to-end workflow management for fraud investigations, from alert to resolution.
The difference
Good to know
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.
No. The platform features a low-code/no-code rules engine and flexible dashboards, so business users can operate it without technical expertise while retaining full capabilities.
The Learning Loop continuously adapts and improves detection accuracy by incorporating new data and patterns, using supervised machine learning and advanced AI to strengthen fraud prevention over time.
AML and KYC verification, entity screening, and transaction monitoring are all built into the platform.
Supervised Machine Learning, Graph Neural Networks, and Generative AI for advanced fraud detection and risk assessment.
Move forward
Book a call and a solutions advisor will walk through your fraud, risk, and compliance needs.
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