Detect complex relationships between entities and patterns that rule-based systems miss. Models adapt through supervised machine learning.
97% fewer false positives80% less fraud20% higher approvals
Fraud detection that earns customer trust
Stop 80% of fraud while approving 20% more legitimate transactions. FraudNet combines Graph Neural Networks, Generative AI, and a Global Anti-Fraud Network so your risk team acts with confidence in real time.
Custom pricing based on your transaction volume and risk profile.
Trusted by leaders in payments and financial services
CitibankMastercardRivertyBokuNelnetPlanetPaymentArvatoBankjoy
97%Reduction in false positives
80%Reduction in fraud losses
20%Boost in approval rates
Real-timeRisk scoring on every transaction
Features
One platform for fraud, risk, and compliance
Every layer of FraudNet works together so your team detects, decides, and responds without switching tools.
Graph Neural Networks + Generative AI
Detect complex relationships between entities and patterns that rule-based systems miss. Models adapt through supervised machine learning.
No-code rules engine
Business users create and modify fraud detection rules without engineering support. Adapt to new threats in minutes.
Learning Loop system
Outcomes feed back into models continuously, improving detection accuracy as fraud tactics evolve.
Global Anti-Fraud Network
Collective intelligence shared across the platform's user base gives you visibility into fraud patterns beyond your own data.
Real-time risk scoring
Instant assessment of every transaction and user through AI-powered analysis with anomaly detection.
Compliance suite
Built-in AML and KYC verification, entity screening, and transaction monitoring keep you compliant across jurisdictions.
Case management
End-to-end workflow management for fraud investigations and resolution tracking, all within the same platform.
Flexible dashboards
Customizable analytics and reporting interfaces deliver real-time insights tailored to your team's needs.
Why change
Legacy fraud tools cost you good customers
High false-positive rates, manual reviews, and siloed compliance tools drain revenue and erode trust. FraudNet replaces them with one adaptive platform.
The old way
- ×Legitimate transactions flagged as fraud, creating customer friction and lost revenue
- ×Manual reviews consume hours of analyst time on every suspicious case
- ×Fraud tactics evolve faster than static rules can adapt
- ×Separate point solutions for fraud, AML, and KYC create integration headaches
- ×No visibility into fraud patterns beyond your own data
The FraudNet way
- +AI-powered risk scoring cuts false positives by 97% so good customers pass through
- +No-code rules engine lets business users adapt detection in minutes, no engineering required
- +Learning Loop continuously retrains models on new fraud patterns automatically
- +Integrated AML, KYC, entity screening, and transaction monitoring in one platform
- +Global Anti-Fraud Network pools intelligence across organizations for collective defense
Step by step
From data ingestion to real-time decision in milliseconds
A clear path from first step to measurable outcome.
Ingest and enrich
Collect real-time transaction and user data through APIs and SDKs, then enhance it 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 identify 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 with every transaction processed.
Evidence
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.”
Questions
Common questions about FraudNet
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 fraud by 80% and approve more good customers?
Book a call with our team to see how FraudNet fits your transaction volume, compliance needs, and risk profile.
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