Real-time risk scoring
Instant AI-powered assessment of every transaction and user, stopping fraud before it settles.
97% fewer false positives80% less fraud20% higher approval rates
Your fraud tools are blocking good customers
FraudNet's AI platform cuts false positives by 97% and reduces fraud by 80% while lifting approval rates by 20%. Real-time scoring, no-code rules, and a global anti-fraud network built for payments and fintech teams.
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
Features
Everything your fraud team needs in one platform
Detection, compliance, and case management built to work together - not bolted on.
No-code rules engine
Business users create and modify fraud detection rules without writing code, adapting to new threats in minutes.
Global Anti-Fraud Network
Collective intelligence shared across organizations, giving you fraud pattern data far beyond your own experience.
Graph Neural Networks
Map relationships between entities to uncover organized fraud rings and coordinated attack patterns.
Learning Loop system
Continuous feedback from outcomes trains models to improve detection accuracy over time automatically.
Compliance suite
Built-in AML and KYC verification, entity screening, and transaction monitoring to meet regulatory obligations.
Flexible dashboards
Customizable analytics and reporting interfaces for real-time visibility into risk trends and team performance.
Case management
End-to-end workflow management for fraud investigations, from alert to resolution, in a single workspace.
Side by side
FraudNet vs. traditional fraud tools
FraudNetLegacy systems
Real-time risk scoring with AI✓×
No-code rules engine for business users✓×
Global Anti-Fraud Network with shared intelligence✓×
Graph Neural Networks for entity relationship mapping✓×
Continuous Learning Loop for model improvement✓×
Integrated AML, KYC, and compliance in one platform✓×
End-to-end case management workflow✓×
97% reduction in false positives✓×
How it works
From data ingestion to decision in milliseconds
A clear path from first step to measurable outcome.
Ingest real-time data
Collect transaction and user data through APIs and SDKs as events happen.
Enrich with network signals
Enhance incoming data with signals from the Global Anti-Fraud Network and third-party sources.
Analyze with AI models
Graph Neural Networks and Generative AI analyze patterns and relationships between entities.
Score and decide
The decision engine combines ML outputs with your no-code rules to generate a risk score in real time.
Learn and improve
The Learning Loop feeds outcomes back into models, continuously improving accuracy as fraud evolves.
Trusted by teams at
CitibankMastercardRivertyBokuNelnetPlanetPaymentArvatoBankjoy
What teams see
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.”
Questions
Questions fraud and risk teams ask us
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.
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 capabilities for all participants.
What compliance solutions are included?+
FraudNet offers comprehensive compliance solutions including AML and KYC verification, along with entity screening and transaction monitoring.
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.
Get started
Ready to cut false positives by 97%?
Book a call to see how FraudNet fits your fraud, risk, and compliance workflow.
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