The old way
- ×Months-long integrations delay your fraud defenses
- ×High false positive rates create customer friction and lost revenue
- ×Manual reviews drain team resources
- ×Static rules fail against rapidly evolving fraud tactics
Cut false positives by 97% and reduce fraud by 80% without a lengthy implementation cycle. Get real-time risk scoring live fast.
The case for change
Traditional systems take too long to deploy and adapt. FraudNet gets you live quickly with a no-code rules engine and continuous learning loops.
The old way
The FraudNet way
The toolkit
Access advanced AI and a global network without the typical enterprise IT bottleneck.
Instantly assess transactions and users through AI-powered analysis for immediate fraud prevention.
Business users create and modify fraud detection rules without technical expertise, enabling quick adaptation to new threats.
Utilize Graph Neural Networks, Generative AI, and Supervised Machine Learning for sophisticated pattern recognition.
A continuous improvement mechanism that adapts to new fraud patterns and refines detection accuracy over time.
Collaborative intelligence sharing that pools fraud patterns and insights across multiple organizations.
Customizable analytics and reporting interfaces that provide real-time insights and monitoring capabilities.
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Your path
Start fast and see the difference within weeks.
Collect real-time transaction and user data through APIs, enhanced by signals from the Global Anti-Fraud Network.
Graph Neural Networks and Generative AI models analyze patterns and relationships between entities instantly.
The decision engine combines ML outputs with your no-code rules to generate accurate risk scores in real-time.
The Learning Loop feeds outcomes back into the system to continuously improve model accuracy and adapt to new threats.
Proof
“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.”
Good to know
FraudNet is an enterprise-level fraud and risk management platform that combines AI-powered tools 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 to enhance fraud prevention capabilities.
Companies typically experience a 97% reduction in false positives, 80% reduction in fraud, and a 20% boost in approval rates through FraudNet's tools.
Fraud.net primarily serves Payments, Financial Services, Fintechs, and Commerce industries with customized fraud prevention and risk management tools.
No, FraudNet features a low-code/no-code rules engine and flexible dashboards, making it accessible for users without technical expertise while still maintaining powerful capabilities.
Next step
Book a call to see how quickly you can deploy FraudNet and cut false positives by 97%.
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