Business users create and modify fraud detection rules without writing code, adapting to new fraud patterns in minutes instead of waiting on engineering cycles.
Fraud detection that earns your trust
AI-powered risk scoring cuts fraud by 80% and false positives by 97%, so your team approves more good customers in real time without the manual review backlog.
See how FraudNet fits your fraud and compliance workflow
Why now
Legacy fraud tools cost you good customers
High false positive rates, slow manual reviews, and siloed compliance tools leave gaps that sophisticated fraud schemes exploit.
The old way
- ×Legitimate transactions flagged as fraud, creating customer friction and lost revenue
- ×Manual review queues grow faster than your team can clear them
- ×Fraud tactics evolve faster than static rules can adapt
- ×Compliance tools live separate from fraud detection, creating blind spots
- ×No visibility into fraud patterns beyond your own transaction history
The FraudNet way
- ✓Real-time AI risk scoring approves good customers instantly while catching fraud before it settles
- ✓No-code rules engine lets business users adapt detection logic in minutes, no engineering required
- ✓Learning Loop system continuously refines models using outcome data, so accuracy improves over time
- ✓Integrated AML, KYC, entity screening, and transaction monitoring in one platform
- ✓Global Anti-Fraud Network pools intelligence across organizations so you see threats before they reach you
Inside the product
Everything your fraud and compliance team needs in one platform
Detection, compliance, and case management built to work together from day one.
No-code Rules Engine
Business users create and modify fraud detection rules without writing code, adapting to new fraud patterns in minutes instead of waiting on engineering cycles.
Real-time Risk Scoring
Instant AI-powered assessment of every transaction and user, providing immediate fraud prevention before losses occur.
Global Anti-Fraud Network
Collective intelligence shared across the platform's user base, giving you visibility into fraud patterns and threats identified by other organizations.
Advanced AI Models
Graph Neural Networks, Generative AI, and Supervised Machine Learning work together for sophisticated pattern recognition and entity relationship analysis.
Learning Loop System
Outcome data feeds back into model training continuously, so detection accuracy adapts and improves as new fraud patterns emerge.
Compliance Suite
Integrated AML and KYC verification, entity screening, and transaction monitoring keep you compliant across jurisdictions without a separate toolset.
Flexible Dashboards
Customizable analytics and reporting interfaces deliver real-time insights tailored to your team's monitoring and investigation workflows.
Case Management
End-to-end workflow management for fraud investigations and resolution tracking, keeping your team organized from alert to closure.
Trusted by teams at
Process
From data ingestion to decision in real time
A clear path from first step to measurable outcome.
Ingest transaction and user data
Real-time data flows in through APIs and SDKs, capturing every transaction and user interaction as it happens.
Enrich with network intelligence
Incoming data is enhanced with signals from the Global Anti-Fraud Network and third-party sources for broader context.
Analyze with AI models
Graph Neural Networks and Generative AI analyze patterns and entity relationships to identify risk that rules alone would miss.
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 API or webhook.
Learn and improve
The Learning Loop feeds outcome data back into model training, continuously refining accuracy as your transaction volume grows.
What teams see
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 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 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 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 integrated AML and KYC verification, entity screening, and transaction monitoring capabilities within the same platform as fraud detection.
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.
Ready when you are
Stop fraud before it settles
Book a call to see how FraudNet's AI-powered platform can cut your fraud losses by 80% while boosting approval rates.
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