Graph Neural Networks, Generative AI, and supervised machine learning trained on your data for pattern recognition that goes beyond rule-based detection.
97% fewer false positives80% less fraud20% higher approval rates
Cut fraud losses by 80% in 90 days
FraudNet combines Graph Neural Networks, Generative AI, and a Global Anti-Fraud Network to detect threats in real time. No-code rules, built-in compliance, and a Learning Loop that gets sharper every day.
See how FraudNet fits your fraud stack in a 30-minute walkthrough.
80%Reduction in fraud
97%Reduction in false positives
20%Boost in approval rates
90 daysTo measurable results
Trusted by leaders in payments, fintech, and financial services
CitibankMastercardRivertyBokuNelnetPlanetPaymentArvatoBankjoy
The flow
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, then gets 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 surface 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 an action via API or webhook.
Learn and improve
The Learning Loop feeds outcomes back into the models, continuously refining accuracy so your detection gets better with every transaction.
What you get
Everything you need to detect, decide, and adapt
One integrated platform replaces fragmented point solutions for fraud, risk, and compliance.
Custom AI models
Graph Neural Networks, Generative AI, and supervised machine learning trained on your data for pattern recognition that goes beyond rule-based detection.
Real-time risk scoring
Instant assessment of every transaction and user through AI-powered analysis, with sub-second decisions delivered via API.
No-code rules engine
Business users create and modify fraud detection rules without writing code, adapting to new threats in minutes instead of sprint cycles.
Learning Loop system
Outcomes feed back into the models continuously, so detection accuracy improves automatically as your transaction volume grows.
Global Anti-Fraud Network
Collective intelligence shared across the platform's user base gives you visibility into fraud patterns you would never see alone.
Compliance suite
Built-in AML and KYC verification, entity screening, and transaction monitoring keep you compliant across jurisdictions without a separate tool.
Flexible dashboards
Customizable analytics and reporting interfaces deliver real-time insights tailored to each team's monitoring needs.
Case management
End-to-end workflow management for fraud investigations and resolution tracking, from alert to closure.
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.”
Packages
Custom pricing built around your transaction volume and risk profile
Pricing is tailored to your specific requirements and scale of operations. Book a call to get a quote.
Enterprise
Custom
Full platform access with custom AI models, Global Anti-Fraud Network, compliance suite, and dedicated support. Pricing based on your transaction volume and operational scale.
- ✓ Real-time risk scoring and anomaly detection
- ✓ No-code rules engine
- ✓ Custom ML models with Graph Neural Networks
- ✓ Global Anti-Fraud Network access
- ✓ AML and KYC compliance tools
- ✓ Case management and flexible dashboards
- ✓ Learning Loop continuous improvement
- ✓ RESTful API and webhook integration
Common questions
Common questions about FraudNet
What results do companies see after implementing FraudNet?+
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.
Do I need technical expertise to use the platform?+
No. FraudNet features a no-code rules engine and flexible dashboards, making it accessible for business users while still delivering advanced AI capabilities under the hood.
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 pools fraud patterns and insights across multiple organizations, giving every participant collective intelligence that no single company could build alone.
What compliance capabilities are built in?+
FraudNet includes AML and KYC verification, entity screening, and transaction monitoring as integrated parts of the platform.
How does the Learning Loop improve detection over time?+
The Learning Loop continuously feeds outcome data back into the models, adapting to new fraud patterns and refining detection accuracy as your transaction volume grows.
Move forward
Ready to cut fraud by 80%?
Book a 30-minute call to see how FraudNet fits your fraud stack, your compliance needs, and your transaction volume.
Book a call