Custom AI Models
Graph Neural Networks, Generative AI, and Supervised Machine Learning work together to recognize complex fraud patterns and entity relationships.
97% fewer false positives80% less fraud20% higher approval rates
Cut false positives by 97% with AI fraud detection
FraudNet combines Graph Neural Networks, Generative AI, and a Global Anti-Fraud Network to stop fraud in real time without blocking good customers.
See how FraudNet fits your fraud stack in a 30-minute call.
97%Reduction in false positives
80%Reduction in fraud
20%Boost in approval rates
Real-timeRisk scoring and anomaly detection
Features
Everything you need to detect, prevent, and manage fraud
A single platform combining custom AI models, collective intelligence, and built-in compliance.
No-Code Rules Engine
Business users create and modify fraud detection rules without engineering help, adapting to new threats in minutes.
Global Anti-Fraud Network
Collective intelligence shared across the platform's user base gives you fraud pattern data far beyond your own experience.
Learning Loop System
Outcomes feed back into the models continuously, so detection accuracy improves automatically as new data arrives.
Real-Time Risk Scoring
Instant assessment of every transaction and user through AI-powered analysis for immediate fraud prevention.
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 one platform.
Why teams switch
Legacy fraud tools block good customers and miss new attacks
Traditional systems flag legitimate transactions, waste analyst hours, and can't keep up with evolving tactics.
The old way
- ×High false positive rates create customer friction and lost revenue
- ×Manual reviews drain analyst time and resources
- ×Fraud tactics evolve faster than static rules can adapt
- ×Point solutions for fraud, compliance, and risk don't talk to each other
- ×Limited fraud intelligence confined to 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 system continuously refines accuracy as new fraud patterns emerge
- ✓End-to-end platform unifies fraud detection, entity risk, and AML/KYC compliance
- ✓Global Anti-Fraud Network pools intelligence across organizations for stronger detection
How we compare
FraudNet vs. traditional 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✓×
Continuous Learning Loop for model improvement✓×
Integrated AML, KYC, and entity screening✓×
End-to-end case management✓×
Real-time risk scoring and anomaly detection✓✓
Your path
From data ingestion to real-time decision in milliseconds
A simple route from setup to steady output.
Ingest and enrich
Collect real-time transaction and user data through APIs and SDKs, then enrich 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 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 improving detection accuracy as your business grows.
Outcomes
What teams say after switching to 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 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, using supervised machine learning and advanced AI technologies 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 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.
Take the next step
Ready to cut false positives by 97%?
Book a call with the FraudNet team to see how custom AI models and collective intelligence fit your fraud stack.
Book a call→