Graph Neural Networks, Generative AI and supervised machine learning analyze patterns and relationships between entities, not just single transactions.
Grow Revenue Without Growing Fraud Losses
FraudNet unifies AI fraud detection, entity risk management and AML/KYC compliance in one platform. The result: fewer bad actors, fewer blocked good customers, and faster decisions in real time.
Talk to a solutions advisor about your fraud and compliance stack.
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What it does
One platform, every layer of fraud defense
Detection, compliance and investigation tools working from the same data and the same AI models.
Advanced AI models
Graph Neural Networks, Generative AI and supervised machine learning analyze patterns and relationships between entities, not just single transactions.
Real-time risk scoring
Instant assessment of transactions and users with anomaly detection, so decisions happen in the moment, not after the loss.
No-code rules engine
Business users create and modify fraud rules without engineering help, so you can respond to new fraud patterns in hours.
Global Anti-Fraud Network
Collective intelligence shared across the platform's user base, giving you fraud pattern visibility far beyond your own data.
Compliance suite
AML and KYC verification, entity screening and transaction monitoring integrated directly into your fraud workflow.
Case management
End-to-end workflow management for fraud investigations and resolution tracking, with flexible dashboards for real-time insight.
Learning Loop
Outcomes feed back into the models continuously, so detection accuracy improves as your business and fraud tactics change.
Advanced analytics
Customizable reporting and monitoring interfaces that surface what matters to your risk team, in real time.
The flow
From raw data to a decision in real time
Start fast and see the difference within weeks.
Ingest
Collect real-time transaction and user data through APIs and SDKs.
Enrich
Add signals from the Global Anti-Fraud Network and third-party sources to every event.
Analyze
Graph Neural Networks and Generative AI models examine patterns and relationships between entities.
Decide
ML outputs combine with your no-code rules to generate a risk score and an action, delivered via API or webhook.
Learn
The Learning Loop feeds outcomes back into the models, improving accuracy with every decision.
Outcomes
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.”
Questions
Questions risk and compliance teams ask us
What results can we expect?+
Companies implementing FraudNet typically see a 97% reduction in false positives, an 80% reduction in fraud, and a 20% boost in approval rates.
Do we need technical expertise to run it?+
No. The platform features a low-code/no-code rules engine and flexible dashboards, so business users can build and adjust fraud rules without engineering support.
What AI technologies does FraudNet use?+
Supervised Machine Learning, Graph Neural Networks and Generative AI, combined through a Learning Loop system that continuously improves detection accuracy.
Which industries is it built for?+
Payments, Financial Services, Fintechs and Commerce, with fraud prevention and risk management customized to each industry's requirements.
How does the Global Anti-Fraud Network work?+
It pools fraud patterns and insights across the platform's user base, so every participant benefits from collective intelligence beyond their own data.
What compliance capabilities are included?+
AML and KYC verification, entity screening, transaction monitoring and case management, all integrated into the same platform as fraud detection.
Move forward
See what FraudNet would change for your portfolio
Book a call and walk through your fraud, risk and compliance workflow with a solutions advisor.
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