Graph Neural Networks, Generative AI, and supervised machine learning detect sophisticated patterns and entity relationships that rules alone miss.
97% fewer false positives80% less fraud20% higher approval rates
Approve more customers. Block more fraud.
FraudNet combines Graph Neural Networks, Generative AI, and a Global Anti-Fraud Network to score risk in real time - so your payments and fintech business stops losing revenue to fraud and false positives.
See how FraudNet fits your fraud stack in a 30-minute walkthrough.
Trusted by teams at
CitibankMastercardRivertyBokuNelnetPlanetPaymentArvatoBankjoy
97%Reduction in false positives
80%Reduction in fraud
20%Boost in approval rates
Real-timeRisk scoring on every transaction
Inside the product
Everything your fraud team needs in one platform
Detection, compliance, and case management built on custom AI models that learn from every transaction.
Custom AI models
Graph Neural Networks, Generative AI, and supervised machine learning detect sophisticated patterns and entity relationships that rules alone miss.
Real-time risk scoring
Instant assessment of every transaction and user through AI-powered analysis, with anomaly detection that flags threats as they happen.
No-code rules engine
Business users create and modify fraud detection rules without engineering support, enabling rapid adaptation to emerging fraud schemes.
Global Anti-Fraud Network
Collective intelligence shared across the platform's user base, giving you fraud pattern insights far beyond your own data.
Learning Loop system
Continuous feedback mechanism that feeds outcomes back into models, refining detection accuracy as new fraud patterns emerge.
Compliance suite
Integrated AML and KYC verification, entity screening, and transaction monitoring keep you compliant across jurisdictions.
Flexible dashboards
Customizable analytics and reporting interfaces deliver real-time insights so your team can monitor trends and act fast.
Case management
End-to-end workflow management for fraud investigations and resolution tracking, keeping your team organized and accountable.
Why teams switch
Legacy fraud tools cost you twice
They flag good customers as fraud and miss the sophisticated attacks that actually matter.
The old way
- ×High false positive rates create customer friction and lost revenue
- ×Manual reviews drain time and resources from your fraud team
- ×Point solutions for fraud, compliance, and risk don't talk to each other
- ×Delayed detection means fraud is caught after the money is gone
- ×You only see fraud patterns from your own data, not the broader landscape
The FraudNet way
- ✓AI-powered risk scoring cuts false positives by 97% so good customers flow through
- ✓No-code rules engine lets business users adapt to new fraud patterns without engineering
- ✓One integrated platform covers fraud detection, entity risk, and AML/KYC compliance
- ✓Real-time scoring and anomaly detection stop fraud before it settles
- ✓Global Anti-Fraud Network pools intelligence across organizations for stronger detection
Getting started
From data ingestion to real-time decision in milliseconds
Start fast and see the difference within weeks.
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 surface risk that rules alone would miss.
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 through APIs and webhooks.
Learn and improve
The Learning Loop feeds every outcome back into the models, continuously improving detection accuracy as fraud tactics evolve.
Outcomes
What teams say after switching
“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
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, 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.
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.
Move forward
Ready to cut fraud and boost approvals?
Book a call to see how FraudNet's AI platform fits your payments or fintech business.
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