Real-time risk scoring
Instant AI-powered assessment of every transaction and user, so threats are blocked before damage occurs.
FraudNet combines AI risk scoring with a no-code rules engine to cut fraud by 80% and false positives by 97% - without adding friction to legitimate transactions.
See how fast FraudNet deploys for your stack
Capabilities
One integrated platform for detection, compliance, and risk management - no stitching point solutions together.
Instant AI-powered assessment of every transaction and user, so threats are blocked before damage occurs.
Business users create and modify fraud detection rules without engineering support, adapting to new patterns in minutes.
Graph Neural Networks, Generative AI, and supervised machine learning work together to catch sophisticated fraud schemes.
Detection accuracy improves continuously as new outcomes feed back into the models, keeping you ahead of evolving tactics.
Collective intelligence shared across the platform's user base gives you visibility into fraud patterns beyond your own data.
Integrated AML and KYC verification, entity screening, and transaction monitoring keep you compliant across jurisdictions.
Customizable analytics and reporting interfaces deliver real-time insights tailored to how your team works.
End-to-end workflow management for fraud investigations and resolution tracking, all within the same platform.
Compare
Getting started
A simple route from setup to steady output.
Transaction and user data flows in through APIs and SDKs, enriched with signals from the Global Anti-Fraud Network and third-party sources.
Graph Neural Networks and Generative AI models analyze patterns and relationships between entities to identify fraud in real time.
The decision engine combines ML model outputs with your no-code rules to generate a risk score and trigger an immediate action.
Outcomes feed back into the Learning Loop, continuously refining model accuracy so detection gets sharper over time.
Trusted by teams at
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.”
FAQ
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 continuously adapts and improves detection accuracy by incorporating new data and patterns, using supervised machine learning and advanced AI to enhance fraud prevention over time.
Companies typically experience a 97% reduction in false positives, an 80% reduction in fraud, and a 20% boost in approval rates.
FraudNet primarily serves Payments, Financial Services, Fintechs, and Commerce with customized fraud prevention and risk management solutions.
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 while maintaining powerful capabilities.
FraudNet offers AML and KYC verification, entity screening, and transaction monitoring as part of its integrated compliance suite.
Next step
Book a call to see how FraudNet deploys for your stack and starts reducing fraud in real time.
Book a call