Graph Neural Networks, Generative AI and supervised machine learning uncover patterns and relationships between entities that rules alone miss.
AML & KYC ComplianceReal-Time Risk ScoringGlobal Anti-Fraud Network
Fraud Protection You Can Depend On
FraudNet combines Graph Neural Networks, Generative AI and a no-code rules engine to stop fraud in real time. Customers see 97% fewer false positives and 80% less fraud.
Custom pricing based on your requirements and scale.
Trusted by teams at
MastercardCitibankRivertyBokuNelnetPlanetPaymentArvatoAcima
Capabilities
One platform, end-to-end protection
Detection, compliance and case management working together instead of stitched together.
Advanced AI models
Graph Neural Networks, Generative AI and supervised machine learning uncover patterns and relationships between entities that rules alone miss.
No-code rules engine
Business users create and modify fraud rules without technical expertise, so you adapt to new fraud patterns in hours, not sprints.
Real-time risk scoring
Instant assessment of transactions and users through AI-powered analysis, with anomaly detection that flags threats as they happen.
Global Anti-Fraud Network
Collective intelligence pooled across organizations, giving you fraud pattern insights far beyond your own data.
Learning Loop system
Outcomes feed back into the models continuously, so detection accuracy improves as new fraud patterns emerge.
Compliance suite
AML and KYC verification, entity screening and transaction monitoring built into the platform, not bolted on.
Flexible dashboards
Customizable analytics and reporting interfaces with real-time insights for risk and operations teams.
Case management
End-to-end workflow management for fraud investigations, from alert to resolution.
The case for change
Legacy tools flag good customers and miss real threats
Point solutions and manual reviews leave gaps that fraudsters exploit and compliance teams pay for.
The old way
- ×High false positive rates block legitimate customers and cost revenue
- ×Fraud tactics evolve faster than static rules can adapt
- ×Manual transaction reviews drain time and resources
- ×AML and KYC obligations grow more complex across jurisdictions
- ×Multiple point solutions are hard to integrate and maintain
The FraudNet way
- ✓Real-time risk scoring and anomaly detection on every transaction
- ✓A Learning Loop that continuously refines detection accuracy
- ✓Entity screening, transaction monitoring and case management in one platform
- ✓Built-in AML and KYC compliance tools
- ✓No-code rules engine your team can adjust without engineers
97%reduction in false positives
80%reduction in fraud
20%boost in approval rates
Process
From raw data to real-time decisions
Start fast and see the difference within weeks.
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
The decision engine combines ML outputs with your no-code rules to generate risk scores in real time.
Learn
The Learning Loop feeds outcomes back into the models, improving accuracy with every decision.
What teams see
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.”
Common questions
Questions we hear often
What results can we expect?+
Companies typically experience a 97% reduction in false positives, an 80% reduction in fraud, and a 20% boost in approval rates.
Which industries does FraudNet serve?+
FraudNet primarily serves Payments, Financial Services, Fintechs, and Commerce industries with customized fraud prevention and risk management solutions.
Do we need technical expertise 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 still maintaining powerful capabilities.
What AI technologies does FraudNet use?+
FraudNet uses Supervised Machine Learning, Graph Neural Networks, and Generative AI for advanced fraud detection and risk assessment.
How does the Global Anti-Fraud Network work?+
It provides collective intelligence across the platform's user base, enabling shared insights and enhanced fraud prevention for all participants.
What compliance solutions are included?+
FraudNet offers AML and KYC verification, along with entity screening and transaction monitoring.
How does pricing work?+
Pricing is customized based on your specific requirements and scale of operations. Book a call and our team will scope it with you.
Ready when you are
See what FraudNet catches that your current tools miss
Book a call and we will walk through your fraud, risk and compliance needs in one conversation.
Book a call with our team→