Business users create and modify fraud detection rules without technical expertise, enabling quick adaptation to new fraud patterns.
97% fewer false positives80% less fraud20% higher approval rates
Stop false positives. Approve more customers.
FraudNet's AI risk scoring cuts false positives by 97% and reduces fraud by 80%, so your team spends less time reviewing and more time growing.
See how FraudNet fits your fraud stack.
Why now
Manual reviews kill your approval velocity
Legacy systems flag good customers as fraud, forcing your team into hours of manual review while real threats slip through.
The old way
- ×High false positive rates block legitimate transactions and frustrate customers
- ×Manual reviews drain time and resources from your fraud and risk teams
- ×Siloed point solutions make compliance and fraud detection hard to integrate
- ×Static rules fail to keep up with rapidly evolving fraud tactics
The FraudNet way
- ✓AI-powered risk scoring delivers instant, accurate decisions on every transaction
- ✓A no-code rules engine lets business users adapt detection logic without engineering help
- ✓Graph Neural Networks and Generative AI map complex entity relationships to catch organized fraud
- ✓A Learning Loop system continuously refines models using new outcome data
What you get
Everything you need to detect, decide, and comply
An end-to-end platform that combines custom AI, shared intelligence, and flexible controls for payments, fintech, and financial services.
No-code rules engine
Business users create and modify fraud detection rules without technical expertise, enabling quick adaptation to new fraud patterns.
Real-time risk scoring
Instant assessment of transactions and users through AI-powered analysis for immediate fraud prevention.
Global Anti-Fraud Network
Collaborative intelligence sharing that pools fraud patterns and insights across multiple organizations for enhanced detection.
Advanced AI models
Graph Neural Networks, Generative AI, and Supervised Machine Learning drive sophisticated pattern recognition and risk assessment.
Learning Loop system
A continuous improvement mechanism that adapts to new fraud patterns and refines detection accuracy over time.
Compliance suite
Integrated AML and KYC verification tools, entity screening, and transaction monitoring in one platform.
Trusted by teams at
CitibankMastercardRivertyBokuArvatoBankjoy
How it works
From data ingestion to real-time decision
A simple route from setup to steady output.
Ingest and enrich
Collect real-time transaction and user data through APIs and SDKs, then enhance it with signals from the Global Anti-Fraud Network and third-party sources.
Analyze with AI
Graph Neural Networks and Generative AI models analyze patterns and relationships between entities to identify risk.
Decide and act
The decision engine combines ML model outputs with your no-code rules to generate risk scores and trigger real-time responses via RESTful APIs and webhooks.
Learn and improve
The Learning Loop feeds outcomes back into the models, continuously improving detection accuracy as new data arrives.
97%Reduction in false positives
80%Reduction in fraud
20%Boost in approval rates
Outcomes
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.”
Common questions
Common questions about FraudNet
What is FraudNet's core offering?+
FraudNet is an enterprise-level fraud and risk management platform that combines AI-powered solutions for comprehensive fraud detection, compliance, and risk management with features like a no-code rules engine and real-time monitoring.
How does the Learning Loop system work?+
The Learning Loop system continuously adapts and improves detection accuracy by incorporating new data and patterns, utilizing supervised machine learning and advanced AI technologies to enhance fraud prevention capabilities.
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 through FraudNet's solutions.
Which industries does FraudNet serve?+
FraudNet primarily serves Payments, Financial Services, Fintechs, and Commerce industries with customized fraud prevention and risk management solutions.
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.