Graph Neural Networks & Generative AI
Advanced AI models analyze relationships between entities and detect sophisticated fraud patterns that rule-based systems miss.
97% fewer false positives80% fraud reduction20% higher approval rates
Fraud prevention your business can trust
FraudNet combines Graph Neural Networks, Generative AI, and a Global Anti-Fraud Network to detect threats in real time. Built for payments, fintech, and financial services teams that cannot afford false positives.
Talk to our team about your fraud and compliance needs.
Trusted by teams at
CitibankMastercardRivertyBokuNelnetPlanetPaymentArvatoBankjoy
97%Reduction in false positives
80%Reduction in fraud
20%Boost in approval rates
Real-timeRisk scoring and anomaly detection
What you get
Everything you need to detect, prevent, and manage fraud
A single platform combining AI models, compliance tools, and collective intelligence for end-to-end protection.
Real-time risk scoring
Instant assessment of every transaction and user through AI-powered analysis, stopping fraud before it settles.
No-code rules engine
Business users create and modify fraud detection rules without technical expertise, adapting to new threats in minutes.
Global Anti-Fraud Network
Collective intelligence shared across the platform's user base, giving you fraud pattern data far beyond your own transactions.
Learning Loop system
Continuous improvement mechanism that feeds outcomes back into models, refining detection accuracy over time.
AML & KYC compliance suite
Integrated entity screening, transaction monitoring, and compliance verification tools built directly into the platform.
Flexible dashboards
Customizable analytics and reporting interfaces that deliver real-time insights tailored to your team's workflow.
Case management
End-to-end workflow management for fraud investigations, from detection through resolution tracking.
Why teams switch
Legacy fraud tools cost you revenue and trust
High false positive rates, manual reviews, and siloed compliance tools leave gaps that fraudsters exploit. FraudNet closes them.
The old way
- ×Legitimate transactions flagged as fraud, creating customer friction and lost revenue
- ×Manual reviews drain time and resources from your fraud and risk teams
- ×Siloed point solutions for fraud, compliance, and risk management are hard to integrate
- ×Limited fraud intelligence restricted to your own transaction history
- ×Compliance with evolving AML and KYC regulations across jurisdictions is complex and costly
The FraudNet way
- +AI-powered real-time risk scoring cuts false positives by 97%
- +No-code rules engine lets business users adapt detection without engineering support
- +End-to-end platform unifies fraud detection, entity risk management, and AML/KYC compliance
- +Global Anti-Fraud Network pools intelligence across organizations for stronger detection
- +Learning Loop system continuously refines accuracy as new fraud patterns emerge
Your path
From data ingestion to real-time decision in milliseconds
A clear path from first step to measurable outcome.
Ingest & enrich
Real-time transaction and user data flows in through APIs and SDKs, 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 entity relationships, while supervised machine learning scores risk.
Decide in real time
The decision engine combines ML outputs with your no-code rules to generate a risk score, delivered back to your systems via RESTful APIs and webhooks.
Learn & improve
The Learning Loop feeds every outcome back into the models, continuously improving detection accuracy as fraud tactics evolve.
Evidence
Teams that rely on 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.”
FAQ
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 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 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%?
Book a call with our team to see how FraudNet fits your fraud, risk, and compliance needs.
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