Graph Neural Networks, Generative AI, and supervised ML analyze entity relationships and transaction patterns to catch sophisticated fraud schemes.
97% fewer false positives80% less fraud20% more approvals
Approve more customers. Lose less to fraud.
FraudNet combines custom machine learning, a no-code rules engine, and a global anti-fraud network so your team can catch real threats in real time without blocking good revenue.
See how FraudNet fits your fraud stack in a 30-minute conversation.
Why teams switch
Legacy fraud tools cost you in two directions
Too many false positives block good customers. Too many blind spots let real fraud through. FraudNet closes both gaps.
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
- ×Limited fraud intelligence - you only see patterns from your own data
- ×Rules require engineering tickets every time fraud tactics shift
With FraudNet
- +AI-powered risk scoring cuts false positives by 97%
- +Real-time scoring and anomaly detection replace manual review queues
- +One integrated platform covers fraud detection, entity risk, and AML/KYC compliance
- +Global Anti-Fraud Network pools intelligence across organizations for broader visibility
- +No-code rules engine lets business users adapt detection in minutes
Inside the product
End-to-end fraud prevention in one platform
Detection, compliance, and case management working together with AI that learns from every decision.
Custom machine learning models
Graph Neural Networks, Generative AI, and supervised ML analyze entity relationships and transaction patterns to catch sophisticated fraud schemes.
No-code rules engine
Business users create and modify fraud detection rules without engineering support, adapting to new threats in minutes.
Global Anti-Fraud Network
Collective intelligence shared across the platform's user base gives you fraud pattern visibility far beyond your own data.
Learning Loop system
Every outcome feeds back into the models, continuously improving detection accuracy as new fraud patterns emerge.
Real-time risk scoring
Instant assessment of transactions and users with anomaly detection 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 the same platform.
Trusted by leaders in payments, fintech, and financial services
MastercardCitibankRivertyBokuNelnetPlanetPaymentArvatoBankjoy
How it works
From data ingestion to real-time decision in milliseconds
From first touch to real results, without the guesswork.
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 with every transaction processed.
97%Reduction in false positives
80%Reduction in fraud losses
20%Boost in approval rates
Real-timeRisk scoring on every transaction
What teams see
Teams growing with confidence using FraudNet
Plans
Custom pricing built around your volume and risk profile
Pricing is tailored to your specific requirements and scale of operations. Book a call to get a quote.
Enterprise
Custom
Full platform access with custom ML models, Global Anti-Fraud Network, compliance suite, and dedicated support. Pricing based on your transaction volume and operational scale.
- + Custom machine learning models
- + No-code rules engine
- + Real-time risk scoring
- + Global Anti-Fraud Network access
- + AML and KYC compliance tools
- + Case management
- + Flexible dashboards
- + RESTful API and webhook integration
Common questions
Common questions about FraudNet
What results do companies see after implementing FraudNet?+
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.
Do we need technical expertise to use the platform?+
No. FraudNet features a no-code rules engine and flexible dashboards, making it accessible for business users without technical expertise while maintaining powerful capabilities.
What AI technologies does FraudNet use?+
FraudNet uses Supervised Machine Learning, Graph Neural Networks, and Generative AI for advanced fraud detection and risk assessment.
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 for all participants.
What compliance solutions are included?+
FraudNet offers integrated AML and KYC verification, entity screening, and transaction monitoring capabilities.
How does the Learning Loop improve detection over time?+
The Learning Loop continuously incorporates new data and outcomes back into the models, adapting to new fraud patterns and refining detection accuracy.
Next step
Ready to cut fraud and approve more customers?
Book a call to see how FraudNet fits your fraud stack and your specific risk profile.
Book a call→