The old way
- ×High false positive rates cause customer friction
- ×Manual reviews waste time and resources
- ×Reactive systems miss real-time threats
- ×Limited fraud intelligence beyond your own data
FraudNet delivers real-time risk scoring and compliance tools to protect your revenue. Built on a global anti-fraud network for reliable enterprise security.
The case for change
Traditional systems flag legitimate customers and miss new threats. FraudNet closes the gap with adaptive AI.
The old way
The FraudNet way
Features
Instant assessment of transactions and users through AI-powered analysis for immediate fraud prevention.
Collaborative intelligence sharing system that pools fraud patterns and insights across multiple organizations.
Create and modify fraud detection rules without technical expertise to adapt quickly to new fraud patterns.
Utilizes Graph Neural Networks, Generative AI, and Supervised Machine Learning for sophisticated pattern recognition.
Continuous improvement mechanism that adapts to new fraud patterns and refines detection accuracy over time.
Integrated AML and KYC verification tools, entity screening, and transaction monitoring capabilities.
Trusted by leading financial institutions
How it works
A simple route from setup to steady output.
Collect real-time transaction data through APIs and enhance it with signals from the Global Anti-Fraud Network.
Graph Neural Networks and Generative AI analyze patterns while the no-code rules engine generates risk scores.
Execute real-time decisions via webhooks and feed outcomes back into the Learning Loop to improve accuracy.
Evidence
“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
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.
The Learning Loop system continuously adapts and improves detection accuracy by incorporating new data and patterns, utilizing supervised machine learning and advanced AI technologies.
Companies typically experience a 97% reduction in false positives, 80% reduction in fraud, and a 20% boost in approval rates.
FraudNet primarily serves Payments, Financial Services, Fintechs, and Commerce industries with customized fraud prevention solutions.
No, FraudNet features a low-code/no-code rules engine and flexible dashboards, making it accessible for users without technical expertise.
Next step
Book a call to see how FraudNet can reduce your fraud losses by up to 80%.
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