Instant AI-powered assessment of every transaction and user, so fraud is blocked before it settles.
Stop losing good customers to false positives
FraudNet uses Graph Neural Networks and Generative AI to score risk in real time, so your team stops reviewing legitimate transactions and starts approving more revenue.
See how FraudNet fits your fraud stack in a 30-minute conversation.
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The case for change
Legacy fraud tools punish your best customers
High false-positive rates, manual review queues, and siloed compliance tools drain revenue and erode trust.
The old way
- ×Legitimate transactions get flagged as fraudulent, creating customer friction and lost revenue
- ×Manual review teams waste hours on transactions that should auto-approve
- ×Fraud tactics evolve faster than static rules can adapt
- ×Compliance tools sit separate from fraud detection, creating gaps and duplication
- ×No visibility into fraud patterns beyond your own data
The FraudNet way
- ✓AI-powered risk scoring evaluates every transaction in real time with 97% fewer false positives
- ✓No-code rules engine lets business users adapt detection logic without engineering help
- ✓Learning Loop system continuously retrains models on new outcomes so accuracy improves over time
- ✓Integrated AML, KYC, entity screening, and transaction monitoring in one platform
- ✓Global Anti-Fraud Network pools intelligence across organizations for stronger detection
The flow
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 surface coordinated fraud.
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 refining accuracy so detection gets sharper over time.
Features
Everything you need to detect, decide, and comply
One platform replaces fragmented point solutions for fraud, risk, and compliance teams.
Real-time risk scoring
Instant AI-powered assessment of every transaction and user, so fraud is blocked before it settles.
No-code rules engine
Business users create and modify fraud detection rules without writing code, adapting to new patterns in minutes.
Graph Neural Networks & Generative AI
Advanced models map relationships between entities and detect coordinated fraud rings that rules alone miss.
Learning Loop system
Outcomes feed back into models automatically, so detection accuracy improves with every transaction processed.
Global Anti-Fraud Network
Collective intelligence shared across the platform's user base gives you fraud signals beyond your own data.
Compliance suite
Built-in AML, 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 each team's needs.
Case management
End-to-end workflow management for fraud investigations, from alert to resolution, in one place.
What teams see
What teams say after switching
“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.”
The difference
FraudNet vs. traditional fraud tools
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.
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.
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.
What compliance solutions are included?+
FraudNet offers comprehensive compliance solutions including AML and KYC verification, along with entity screening and transaction monitoring.
Ready when you are
Ready to cut false positives by 97%?
Book a 30-minute call to see how FraudNet fits your fraud, risk, and compliance workflow.
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