Real-time risk scoring
Instant AI-powered assessment of every transaction and user, so fraud is stopped before it settles.
97% fewer false positives80% less fraud20% higher approval rates
Cut false positives by 97%. Keep revenue moving.
FraudNet combines Graph Neural Networks, Generative AI, and a Global Anti-Fraud Network to score risk in real time - so you stop more fraud without slowing down good customers.
97%Reduction in false positives
80%Reduction in fraud
20%Boost in approval rates
Real-timeRisk scoring and anomaly detection
What it does
Everything you need to detect, prevent, and comply
One end-to-end platform replaces fragmented point solutions for fraud, risk, and compliance.
Custom machine learning models
Graph Neural Networks, Generative AI, and supervised ML recognize sophisticated fraud patterns that rules alone miss.
Learning Loop system
Detection accuracy improves continuously as new outcomes feed back into the models, adapting to emerging fraud tactics.
Global Anti-Fraud Network
Collective intelligence shared across the platform's user base gives you fraud pattern data far beyond your own experience.
No-code rules engine
Business users create and modify fraud detection rules without technical expertise, enabling fast adaptation to new threats.
Compliance suite
Built-in AML and KYC verification, entity screening, and transaction monitoring keep you compliant across jurisdictions.
Flexible dashboards
Customizable analytics and reporting interfaces deliver real-time insights and monitoring tailored to your operation.
Case management
End-to-end workflow management for fraud investigations and resolution tracking, all within the same platform.
Side by side
FraudNet vs. legacy fraud tools
FraudNetLegacy systems
97% reduction in false positives+×
Graph Neural Networks and Generative AI+×
Global Anti-Fraud Network with shared intelligence+×
No-code rules engine for business users+×
Integrated AML, KYC, and transaction monitoring+×
Continuous Learning Loop for model improvement+×
Real-time risk scoring and anomaly detection+×
End-to-end case management+×
How it works
From data ingestion to real-time decision in milliseconds
From first touch to real results, without the guesswork.
Ingest and enrich
Real-time transaction and user data flows in through APIs and SDKs, then gets enriched with signals from the Global Anti-Fraud Network and third-party sources.
Analyze with AI
Graph Neural Networks and Generative AI models analyze patterns and relationships between entities to surface risk.
Score and decide
The decision engine combines ML model outputs with your no-code rules to generate a risk score and trigger real-time actions via RESTful APIs and webhooks.
Learn and improve
The Learning Loop feeds outcomes back into the models, continuously refining detection accuracy as fraud tactics evolve.
Trusted by teams at
CitibankMastercardRivertyBokuNelnetPlanetPaymentArvatoBankjoy
What teams see
What teams say after switching
“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
Common questions
What is FraudNet's core offering?+
FraudNet is an enterprise-level fraud and risk management platform that combines AI-powered solutions for fraud detection, compliance, and risk management, with a no-code rules engine and real-time monitoring.
How does the Learning Loop system work?+
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.
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.
Which industries does FraudNet serve?+
FraudNet primarily serves Payments, Financial Services, Fintechs, and Commerce with customized fraud prevention and risk management solutions.
What AI technologies does FraudNet use?+
FraudNet uses 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.
What compliance solutions are included?+
FraudNet offers AML and KYC verification, entity screening, and transaction monitoring as part of its integrated compliance suite.
Get started
Ready to cut false positives by 97%?
Book a call with the FraudNet team to see how custom AI models and a global anti-fraud network fit your operation.
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