Graph Neural Networks, Generative AI, and supervised machine learning work together to recognize sophisticated fraud patterns and entity relationships.
97% fewer false positives80% less fraud20% higher approval rates
Stop fraud losses without blocking good customers
See how FraudNet fits your fraud stack in a 30-minute call.
The case for change
Your fraud tools are costing you revenue
High false-positive rates, manual review queues, and siloed point solutions drain resources and frustrate customers.
The old way
- ×Legitimate transactions get flagged as fraud, creating customer friction and lost revenue
- ×Manual review queues consume analyst time and slow down operations
- ×Fraud tactics evolve faster than static rules can adapt
- ×Compliance requirements across jurisdictions add complexity without dedicated tooling
- ×Multiple disconnected tools for fraud, compliance, and risk create integration headaches
The FraudNet way
- ✓AI-powered risk scoring evaluates every transaction in real time with 97% fewer false positives
- ✓No-code rules engine lets business users adapt detection logic without engineering support
- ✓Learning Loop system continuously refines models as new fraud patterns emerge
- ✓Integrated AML, KYC, entity screening, and transaction monitoring in one platform
- ✓Global Anti-Fraud Network pools intelligence across organizations for stronger detection
What it does
Everything you need to detect, prevent, and manage fraud
A single platform combining custom AI models, collective intelligence, and compliance tooling.
Custom AI Models
Graph Neural Networks, Generative AI, and supervised machine learning work together to recognize sophisticated fraud patterns and entity relationships.
Real-time Risk Scoring
Instant assessment of transactions and users through AI-powered analysis, providing immediate fraud prevention at the point of action.
No-code Rules Engine
Business users create and modify fraud detection rules without technical expertise, enabling quick adaptation to new fraud schemes.
Global Anti-Fraud Network
Collaborative intelligence sharing pools fraud patterns and insights across multiple organizations for enhanced detection beyond your own data.
Learning Loop System
Continuous improvement mechanism that feeds outcomes back into models, adapting to new fraud patterns and refining detection accuracy over time.
Flexible Dashboards
Customizable analytics and reporting interfaces deliver real-time insights and monitoring tailored to your team's workflows.
Compliance Suite
Integrated 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, from detection to closure.
The flow
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 fraud signals.
Score and decide
The decision engine combines ML model outputs with your no-code rules to generate risk scores and trigger real-time actions via RESTful APIs and webhooks.
Learn and improve
The Learning Loop feeds outcomes back into the models, continuously improving detection accuracy as new fraud patterns emerge.
97%Reduction in false positives
80%Reduction in fraud
20%Boost in approval rates
Outcomes
Teams growing with FraudNet
“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.”
Answers
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 comprehensive fraud detection, compliance, and risk management with features like 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, utilizing supervised machine learning and advanced AI technologies to enhance fraud prevention capabilities.
What results can companies expect?+
Companies typically experience a 97% reduction in false positives, 80% reduction in fraud, and a 20% boost in approval rates through FraudNet's solutions.
Which industries does FraudNet serve?+
FraudNet primarily serves Payments, Financial Services, Fintechs, and Commerce industries 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 comprehensive compliance solutions including AML and KYC verification, entity screening, and transaction monitoring.
How does the Global Anti-Fraud Network work?+
The Global Anti-Fraud Network provides collective intelligence across the platform's user base, enabling shared insights and enhanced fraud prevention capabilities for all participants.
Take the next step
Ready to cut fraud by 80%?
Book a call to see how FraudNet's AI-powered platform fits your fraud prevention and compliance needs.
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