Graph Neural Networks, Generative AI, and Supervised Machine Learning analyze entity relationships and detect sophisticated fraud patterns.
97% fewer false positives80% fraud reduction20% higher approval rates
Fraud prevention built on proven trust
FraudNet combines Graph Neural Networks, Generative AI, and a Global Anti-Fraud Network to protect your transactions in real time. Trusted by Citibank, Mastercard, and Boku.
Talk to our team about your fraud and compliance needs.
Inside the product
Everything you need to detect, prevent, and comply
A single platform combining AI fraud detection, entity risk management, and compliance tools.
Custom AI Models
Graph Neural Networks, Generative AI, and Supervised Machine Learning analyze entity relationships and detect sophisticated fraud patterns.
Real-time Risk Scoring
Instant assessment of every transaction and user through AI-powered analysis for immediate fraud prevention.
No-code Rules Engine
Business users create and modify fraud detection rules without technical expertise, adapting to new threats in minutes.
Global Anti-Fraud Network
Collaborative intelligence sharing pools fraud patterns and insights across multiple organizations for stronger collective defense.
Learning Loop System
Continuous improvement mechanism feeds outcomes back into models, refining detection accuracy over time as fraud evolves.
Compliance Suite
Integrated AML and KYC verification, entity screening, and transaction monitoring to meet regulatory requirements across jurisdictions.
Flexible Dashboards
Customizable analytics and reporting interfaces deliver real-time insights and monitoring tailored to your team's workflow.
Case Management
End-to-end workflow management for fraud investigations and resolution tracking, from detection to closure.
Trusted by leaders in payments and financial services
CitibankMastercardBokuRivertyPlanetPaymentNelnetUnitellerIMB Bank
Process
From data ingestion to real-time decision in milliseconds
From first touch to real results, without the guesswork.
Ingest and enrich
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.
Analyze with AI
Graph Neural Networks and Generative AI models analyze patterns and relationships between entities to identify fraud signals.
Score and decide
The decision engine combines ML model outputs with your no-code rules to generate risk scores 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.
97%Reduction in false positives
80%Reduction in fraud
20%Boost in approval rates
Real-timeRisk scoring and anomaly detection
Proof
Teams that rely on 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.”
Side by side
FraudNet vs. legacy fraud tools
FraudNetLegacy systems
AI-powered real-time risk scoring✓×
Graph Neural Networks for entity relationship analysis✓×
No-code rules engine for non-technical users✓×
Global Anti-Fraud Network with shared intelligence✓×
Integrated AML, KYC, and compliance in one platform✓×
Learning Loop for continuous model improvement✓×
End-to-end case management workflow✓×
97% reduction in false positives✓×
Answers
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, 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, 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.
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 comprehensive compliance solutions including AML and KYC verification, entity screening, and transaction monitoring.
How does the Global Anti-Fraud Network work?+
The Global Anti-Fraud Network provides collective intelligence across the platform's user base, enabling shared insights and enhanced fraud prevention for all participants.
Get started
Protect your revenue with fraud detection you can trust
Book a call with our team to see how FraudNet fits your fraud, risk, and compliance needs.
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