Graph Neural Networks, Generative AI, and Supervised Machine Learning for sophisticated pattern recognition.
97% fewer false positives80% less fraud20% more approvals
Stop fraud before it hits your bottom line
FraudNet uses AI and a global anti-fraud network to cut fraud by 80% and false positives by 97%, so you can approve more good customers.
97%Reduction in false positives
80%Reduction in fraud
20%Boost in approval rates
Why teams switch
Old fraud tools cost you good customers
Traditional systems flag legitimate transactions, miss new fraud patterns, and force your team into manual reviews.
The old way
- ×High false positive rates create customer friction and lost revenue
- ×Evolving fraud tactics bypass conventional security measures
- ×Manual reviews drain time and resources
- ×Point solutions for fraud, compliance, and risk are hard to integrate
- ×Limited fraud intelligence restricted to your own data
The FraudNet way
- +AI-powered scoring reduces false positives by 97%
- +Graph Neural Networks and Generative AI detect complex patterns
- +No-code rules engine lets business users adapt instantly
- +End-to-end platform unifies fraud detection, compliance, and risk
- +Global Anti-Fraud Network pools intelligence across organizations
Step by step
From data to decision in milliseconds
From first touch to real results, without the guesswork.
Ingest & Enrich
Collect real-time transaction and user data through APIs, then enhance it with signals from the Global Anti-Fraud Network and third-party sources.
Analyze & Score
Graph Neural Networks and Generative AI models analyze patterns and relationships between entities to generate instant risk scores.
Decide & Learn
Combine ML outputs with the no-code rules engine to make real-time decisions, then feed outcomes back through the Learning Loop to improve accuracy.
Outcomes
Teams growing safely 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.”
Answers
Answers to common questions
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 system 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 technology does FraudNet employ?+
FraudNet uses multiple AI technologies including 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.
Next step
Ready to cut fraud and approve more customers?
Book a call to see how FraudNet can fit your specific risk and compliance needs.
Book a call