Instant AI-powered assessment of every transaction and user, so fraud is blocked before it settles.
97% fewer false positives80% less fraud20% more approvals
Stop fraud without stopping good customers
FraudNet combines Graph Neural Networks, Generative AI, and a Global Anti-Fraud Network to score risk in real time. Your approval rates go up while fraud goes down.
See how FraudNet fits your fraud stack in a 30-minute walkthrough.
Legacy fraud tools cost you in two directions
Too many false positives block good customers. Too many blind spots let fraud through. FraudNet fixes both.
The old way
- ×High false positive rates create customer friction and lost revenue
- ×Manual reviews drain time and resources from your fraud team
- ×Point solutions for fraud, compliance, and risk don't talk to each other
- ×Delayed detection means fraud is caught after the money is gone
- ×You only see fraud patterns from your own data, not the broader landscape
With FraudNet
- ✓AI-powered risk scoring cuts false positives by 97% so good customers flow through
- ✓No-code rules engine lets business users adapt detection without engineering help
- ✓One integrated platform covers fraud detection, entity risk, and AML/KYC compliance
- ✓Real-time scoring and anomaly detection stop fraud before it settles
- ✓Global Anti-Fraud Network pools intelligence across organizations for stronger detection
Everything your fraud and risk team needs in one platform
From real-time scoring to case management, FraudNet covers the full lifecycle of fraud prevention and compliance.
Real-time risk scoring
Instant AI-powered assessment of every transaction and user, so fraud is blocked before it settles.
Custom AI models
Graph Neural Networks, Generative AI, and supervised machine learning detect complex patterns and entity relationships.
Learning Loop system
Detection accuracy improves continuously as new outcomes feed back into the models, adapting to evolving 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
Integrated 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 tailored to your team's workflow.
Case management
End-to-end workflow management for fraud investigations and resolution tracking, all within the same platform.
Trusted by leaders in payments, fintech, and financial services
CitibankMastercardRivertyBokuNelnetPlanetPaymentArvatoBankjoy
From data ingestion to decision in milliseconds
A clear path from first step to measurable outcome.
Ingest and 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 relationships between entities to identify fraud signals.
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 APIs and webhooks.
Learn and improve
The Learning Loop feeds outcomes back into the models, continuously refining detection accuracy as fraud tactics evolve.
97%Reduction in false positives
80%Reduction in fraud
20%Boost in approval rates
Teams growing with confidence using 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.”
Common questions about FraudNet
What is FraudNet's core offering?+
FraudNet is an enterprise-level fraud and risk management platform combining AI-powered 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 see 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.
Ready to cut fraud and keep good customers moving?
Book a 30-minute call to see how FraudNet fits your fraud stack and compliance workflow.
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