No-code rules engine
Business users create and modify fraud rules without engineering help, so you adapt to new patterns in hours, not sprints.
97% fewer false positives80% fraud reduction20% more approvals
Fraud defense built on shared intelligence
FraudNet combines real-time risk scoring, AML/KYC compliance and a Global Anti-Fraud Network in one enterprise platform. Your detection gets sharper with every transaction.
Custom pricing based on your requirements and scale of operations.
Trusted by teams at
CitibankMastercardRivertyBokuNelnetArvatoBankjoyPlanetPayment
97%reduction in false positives
80%reduction in fraud
20%boost in approval rates
The toolkit
One platform, every layer of defense
Detection, entity risk and compliance working together instead of in silos.
Real-time risk scoring
Instant AI assessment of transactions and users, with anomaly detection that flags threats as they happen.
Global Anti-Fraud Network
Collective intelligence pooled across the FraudNet user base, giving you fraud pattern visibility far beyond your own data.
Advanced AI models
Graph Neural Networks, Generative AI and supervised machine learning uncover relationships and patterns between entities.
Learning Loop
Outcomes feed back into the models continuously, so detection accuracy improves with every decision.
Compliance suite
AML and KYC verification, entity screening and transaction monitoring integrated directly into your fraud workflow.
Flexible dashboards
Customizable analytics and reporting interfaces with real-time insight into risk across your business.
Case management
End-to-end workflow management for fraud investigations, from alert to resolution.
Side by side
FraudNet vs. stitched-together point solutions
FraudNetPoint solutions
End-to-end fraud, risk and compliance in one platform✓×
No-code rules engine usable by business teams✓×
Shared intelligence from a global network✓×
Models that learn from every outcome✓×
Built-in AML and KYC compliance✓×
Real-time decisions via API and webhook✓×
Getting started
From raw signal to decision in real time
A simple route from setup to steady output.
Ingest
Collect real-time transaction and user data through APIs and SDKs.
Enrich
Enhance incoming data with signals from the Global Anti-Fraud Network and third-party sources.
Analyze
Graph Neural Networks and Generative AI models analyze patterns and relationships between entities.
Decide
ML outputs combine with the no-code rules engine to generate risk scores in real time.
Learn
The Learning Loop feeds outcomes back into the models, improving accuracy over time.
Results
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.”
Next step
See what FraudNet catches that your current stack misses
Book a call to walk through your fraud, risk and compliance requirements with the team.
Book a call»