Instant AI assessment of every transaction and user, so decisions happen in the moment, not after the loss.
97% fewer false positives80% fraud reduction20% more approvals
Cut fraud losses by 80%, starting now
FraudNet scores every transaction in real time with custom AI models and a global fraud network. Approve more good customers while stopping fraud before it lands.
What it does
One platform for detection, risk and compliance
Custom AI models, shared network intelligence, and tools your business team can run without engineers.
Real-time risk scoring
Instant AI assessment of every transaction and user, so decisions happen in the moment, not after the loss.
No-code rules engine
Business users create and modify fraud rules without technical expertise, adapting to new fraud patterns in hours.
Global Anti-Fraud Network
Collective intelligence pooled across organizations, giving you fraud pattern visibility far beyond your own data.
Custom AI models
Graph Neural Networks, Generative AI and supervised machine learning tuned to your business and fraud patterns.
Learning Loop
Outcomes feed back into the models continuously, so detection accuracy improves as new patterns emerge.
Compliance suite
AML and KYC verification, entity screening and transaction monitoring built into the same workflow.
Flexible dashboards
Customizable analytics and reporting with real-time insight into risk across your business.
Case management
End-to-end workflow management for fraud investigations, from alert to resolution.
Trusted by teams at
CitibankMastercardRivertyBokuNelnetAcimaArvatoBankjoy
97%reduction in false positives
80%reduction in fraud
20%boost in approval rates
Outcomes
What customers say
“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.”
Getting started
From raw data to a real-time decision
From first touch to real results, without the guesswork.
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 analyze patterns and relationships between entities.
Decide
ML outputs combine with the no-code rules engine to generate a risk score instantly.
Learn
The Learning Loop feeds outcomes back into the models, improving accuracy over time.
Answers
Questions we hear most
What results can we expect?+
Companies 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 low-code/no-code rules engine and flexible dashboards let business users manage fraud detection without engineering support, while the platform still runs custom ML models underneath.
Which industries does FraudNet serve?+
Payments, Financial Services, Fintechs, and Commerce, with fraud prevention and risk management customized to each.
What compliance capabilities are included?+
AML and KYC verification, entity screening, and transaction monitoring, all integrated with the fraud detection workflow.
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.
How does pricing work?+
Pricing is customized to your requirements and scale of operations. Book a call and we will scope it with you.
Next step
See what 80% less fraud looks like for your portfolio
Book a call with a solutions advisor to review your fraud, risk and compliance stack and get a tailored walkthrough.
Book a call›