Instant AI assessment of transactions and users, with anomaly detection that flags threats as they happen, not after the loss.
AML & KYC built inReal-time risk scoringGlobal Anti-Fraud Network
Stop fraud without stopping good customers
FraudNet combines custom machine learning, a no-code rules engine and shared network intelligence to cut false positives by 97% and fraud by 80%.
Talk directly with a fraud specialist about your risk profile.
Trusted by teams at
CitibankMastercardRivertyBokuNelnetArvatoAcimaBankjoy
97%reduction in false positives
80%reduction in fraud
20%boost in approval rates
Real-time risk scoring
Instant AI assessment of transactions and users, with anomaly detection that flags threats as they happen, not after the loss.
No-code rules engine
Business users build and modify fraud rules without engineering help, so you can respond to new fraud patterns in hours.
Custom AI models
Graph Neural Networks, Generative AI and supervised machine learning, tailored to your data and your fraud patterns.
Global Anti-Fraud Network
Collective intelligence shared across the platform's user base, giving you visibility into fraud patterns beyond your own book.
AML & KYC compliance
Entity screening, transaction monitoring and verification tools integrated directly into the fraud workflow.
Case management
End-to-end workflow management for investigations and resolution tracking, so nothing falls through the cracks.
Flexible dashboards
Customizable analytics and reporting interfaces with real-time monitoring views built around how your team works.
Learning Loop
Every outcome trains the system. Detection accuracy adapts continuously as new data and fraud patterns emerge.
The old way
- ×Legitimate transactions get flagged, creating friction and lost revenue
- ×Fraud tactics evolve faster than static rules can keep up
- ×Manual reviews and investigations drain your team's time
- ×AML and KYC obligations shift across jurisdictions, hard to keep current
- ×Separate point tools for fraud, compliance and risk don't talk to each other
The FraudNet way
- ✓AI-powered risk scoring assesses every transaction and user in real time
- ✓A Learning Loop feeds outcomes back into models so accuracy keeps improving
- ✓Case management and flexible dashboards support the full investigation workflow
- ✓AML, KYC, entity screening and transaction monitoring in one platform
- ✓One end-to-end system instead of stitched-together point solutions
FraudNetStitched-together point tools
Fraud detection, compliance and case management in one system✓×
Shared network intelligence beyond your own data✓×
Rules editable by business users, no code required✓×
Models that improve automatically from outcomes✓×
Real-time risk scoring and anomaly detection✓×
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.
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 risk scores instantly.
Learn
The Learning Loop feeds outcomes back so models get sharper with every decision.
“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.”
What results do companies typically see?+
Customers typically experience 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 operate it without engineering support while retaining full capability.
What compliance capabilities are included?+
AML and KYC verification, entity screening, and transaction monitoring are all built into the platform.
Which industries does FraudNet serve?+
Payments, Financial Services, Fintechs, and Commerce, with fraud prevention and risk management customized to each.
How does the Global Anti-Fraud Network work?+
It provides collective intelligence across the platform's user base, pooling fraud patterns and insights so every participant detects threats they would never see from their own data alone.
What AI technologies power the platform?+
Supervised Machine Learning, Graph Neural Networks, and Generative AI, combined in custom models built for your data.
Move forward
See what your fraud stack is missing
Book a call and walk through your current detection, compliance and review workflow with a FraudNet specialist.
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