No-code Rules Engine
Create and modify fraud detection rules without technical expertise to adapt quickly to new threats.
FraudNet delivers real-time risk scoring and a global anti-fraud network to protect your revenue and boost approval rates.
Features
Advanced AI and collective intelligence working together in real time.
Create and modify fraud detection rules without technical expertise to adapt quickly to new threats.
Instant assessment of transactions and users through AI-powered analysis for immediate prevention.
Pools fraud patterns and insights across multiple organizations for enhanced detection capabilities.
Utilizes Graph Neural Networks, Generative AI, and Supervised Machine Learning for sophisticated pattern recognition.
Continuously adapts to new fraud patterns and refines detection accuracy over time.
Integrated AML and KYC verification, entity screening, and transaction monitoring in one platform.
Getting started
A simple route from setup to steady output.
Collect real-time transaction data and enhance it with signals from the Global Anti-Fraud Network and third-party sources.
Graph Neural Networks and Generative AI analyze patterns and relationships to generate instant risk scores.
Combine ML outputs with no-code rules to make decisions, then feed outcomes back into the system to improve accuracy.
Results
“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.”
Common questions
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.
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.
FraudNet uses Supervised Machine Learning, Graph Neural Networks, and Generative AI for advanced fraud detection and risk assessment.
No, FraudNet features a low-code/no-code rules engine and flexible dashboards, making it accessible for users without technical expertise.
Move forward
Book a call with our team to see how FraudNet protects your revenue.
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