Business users create and modify fraud detection rules without technical expertise, adapting to new fraud patterns in minutes.
97% fewer false positives80% less fraud20% higher approval rates
Stop fraud without stopping good customers
Custom AI models and a global anti-fraud network score every transaction in real time. Your team reviews fewer false positives and approves more legitimate business.
See how FraudNet fits your fraud stack in a 30-minute walkthrough.
97%Reduction in false positives
80%Reduction in fraud
20%Boost in approval rates
Trusted by leaders in payments, fintech, and financial services
CitibankMastercardRivertyBokuNelnetPlanetPaymentArvatoBankjoy
The shift
Legacy fraud tools cost you good customers
High false-positive rates, manual reviews, and siloed compliance tools drain revenue and frustrate legitimate users.
The old way
- ×Legitimate transactions get flagged as fraud, creating customer friction and lost revenue
- ×Manual reviews consume analyst time that should go to real threats
- ×Fraud tactics evolve faster than static rules can adapt
- ×Compliance tools sit separate from fraud detection, creating gaps and duplication
- ×You only see fraud patterns from your own data, not the broader landscape
The FraudNet way
- +AI-powered risk scoring evaluates every transaction in real time with 97% fewer false positives
- +A no-code rules engine lets business users adapt detection logic without engineering help
- +Graph Neural Networks and Generative AI spot complex relationships and emerging patterns
- +AML, KYC, entity screening, and transaction monitoring run on one integrated platform
- +The Global Anti-Fraud Network pools intelligence across organizations so you learn from threats others have already seen
How it works
From data ingestion to decision in real time
A clear path from first step to measurable outcome.
Ingest and enrich
Real-time transaction and user data flows in through APIs and SDKs, enriched 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 detect anomalies and emerging threats.
Score and decide
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.
Learn and improve
The Learning Loop feeds outcomes back into the models, continuously improving detection accuracy as new fraud patterns emerge.
Capabilities
Everything fraud, risk, and compliance teams need on one platform
From real-time scoring to case management, FraudNet covers the full fraud lifecycle without bolt-on tools.
No-code rules engine
Business users create and modify fraud detection rules without technical expertise, adapting to new fraud patterns in minutes.
Real-time risk scoring
Instant AI-powered assessment of every transaction and user, providing immediate fraud prevention at scale.
Global Anti-Fraud Network
Collaborative intelligence sharing that pools fraud patterns and insights across multiple organizations for stronger detection.
Custom AI models
Graph Neural Networks, Generative AI, and Supervised Machine Learning work together for sophisticated pattern recognition.
Learning Loop system
Continuous improvement mechanism that feeds outcomes back into models, refining detection accuracy over time.
Compliance suite
Integrated AML and KYC verification, entity screening, and transaction monitoring in one workflow.
Flexible dashboards
Customizable analytics and reporting interfaces that deliver real-time insights tailored to each team's needs.
Case management
End-to-end workflow management for fraud investigations, from alert to resolution tracking.
Proof
What teams say after switching to 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 continuously adapts and improves detection accuracy by incorporating new data and patterns, using supervised machine learning and advanced AI technologies 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 as part of its integrated compliance suite.
Ready when you are
Ready to cut fraud and false positives at the same time?
Book a call to see how FraudNet's AI models and global network fit your fraud stack.
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