The old way
- ×High false positive rates cause customer friction and lost revenue
- ×Manual reviews waste time and resources
- ×Point solutions are hard to integrate and maintain
- ×Limited fraud intelligence leaves you blind to cross-network threats
97% fewer false positives80% less fraud20% higher approval rates
Cut fraud losses by 80% in 90 days
Why now
Stop fighting fraud with slow, outdated tools
Traditional systems flag legitimate customers and miss new attack patterns.
The FraudNet way
- ✓AI-powered scoring cuts false positives by 97%
- ✓No-code rules engine lets business users adapt instantly
- ✓End-to-end platform integrates in weeks, not months
- ✓Global Anti-Fraud Network shares collective intelligence across organizations
Capabilities
Real-time intelligence for immediate action
Custom machine learning models and a no-code rules engine work together to stop fraud before it happens.
Real-time Risk Scoring
Instant assessment of transactions and users through AI-powered analysis for immediate fraud prevention.
Advanced AI Models
Utilizes Graph Neural Networks, Generative AI, and Supervised Machine Learning for sophisticated pattern recognition.
No-code Rules Engine
Business users create and modify fraud detection rules without technical expertise to adapt quickly to new patterns.
Learning Loop System
Continuous improvement mechanism that adapts to new fraud patterns and refines detection accuracy over time.
Global Anti-Fraud Network
Collaborative intelligence sharing system that pools fraud patterns and insights across multiple organizations.
Compliance Suite
Integrated AML and KYC verification tools, entity screening, and transaction monitoring capabilities.
Trusted by teams at
RivertyPlanetPaymentBokuNelnetUnitellerCitibankMastercardIMB Bank
How it works
From data to decision in milliseconds
Start fast and see the difference within weeks.
Ingest & Enrich
Collect real-time transaction and user data through APIs, enhanced with signals from the Global Anti-Fraud Network.
Analyze with AI
Graph Neural Networks and Generative AI models analyze patterns and relationships between entities instantly.
Decide & Act
The decision engine combines ML outputs with your no-code rules to generate risk scores and trigger real-time responses.
Learn & Improve
The Learning Loop feeds outcomes back into the system to continuously improve model accuracy and adapt to new threats.
80%Reduction in fraud
97%Reduction in false positives
20%Boost in approval rates
90 daysTo see significant results
Versus the old way
Move beyond reactive monitoring
FraudNetTraditional Systems
Time to value: deploy in weeks, not months✓×
97% reduction in false positives✓×
No-code rules engine for business users✓×
Global Anti-Fraud Network intelligence✓×
Continuous learning loop for adaptation✓×
FAQ
Frequently asked questions
How fast can we implement FraudNet?+
Customers can deploy the platform in weeks, not months, with minimal disruption to existing operations.
What results can we expect?+
Companies typically experience a 97% reduction in false positives, 80% reduction in fraud, and a 20% boost in approval rates.
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.
What AI technologies does FraudNet use?+
The platform 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?+
It provides collective intelligence across the platform's user base, enabling shared insights and enhanced fraud prevention capabilities for all participants.
Next step
Ready to cut fraud by 80%?
Book a call to see how fast you can deploy real-time fraud intelligence.
Book a call›