Analyze relationships between entities, transactions, and behaviors to catch sophisticated fraud rings that rules alone miss.
Capabilities
Everything you need to detect, decide, and comply
A multi-layered architecture that ingests, enriches, scores, and learns - without requiring a team of data scientists to run it.
Graph Neural Networks + Generative AI
Analyze relationships between entities, transactions, and behaviors to catch sophisticated fraud rings that rules alone miss.
No-code rules engine
Business users create and modify fraud detection rules without engineering support, adapting to new patterns in minutes.
Learning Loop system
Outcomes feed back into supervised ML models continuously, so detection accuracy improves with every transaction processed.
Global Anti-Fraud Network
Collective intelligence shared across the platform's user base gives you fraud pattern visibility far beyond your own data.
Real-time risk scoring
Instant assessment of every transaction and user through AI-powered analysis for immediate fraud prevention.
Integrated AML & KYC compliance
Entity screening, transaction monitoring, and case management built in - no separate compliance stack required.
Flexible dashboards
Customizable analytics and reporting interfaces deliver real-time insights tailored to your team's workflow.
Case management
End-to-end workflow management for fraud investigations and resolution tracking, from alert to closure.
Trusted by leaders in payments, fintech, and financial services
CitibankMastercardRivertyBokuPlanetPaymentNelnetArvatoBankjoy
Getting started
From data ingestion to real-time decision in milliseconds
From first touch to real results, without the guesswork.
Ingest & enrich
Real-time transaction and user data flows in through APIs and SDKs, enriched with signals from the Global Anti-Fraud Network and third-party sources.
Analyze with AI
Graph Neural Networks and Generative AI models analyze patterns and relationships between entities to identify fraud others miss.
Score & decide
The decision engine combines ML model outputs with your no-code rules to generate a risk score and trigger real-time actions via RESTful APIs and webhooks.
Learn & improve
The Learning Loop feeds outcomes back into the models, continuously refining accuracy so your detection gets sharper over time.
97%Reduction in false positives
80%Reduction in fraud losses
20%Boost in approval rates
Real-timeRisk scoring on every transaction
What teams see
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.”
The difference
FraudNet vs. point solutions and legacy systems
FraudNetLegacy / point solutions
97% reduction in false positives✓×
Graph Neural Networks for entity-relationship analysis✓×
Shared Global Anti-Fraud Network intelligence✓×
No-code rules engine for non-technical users✓×
Continuous Learning Loop for model improvement✓×
Integrated AML, KYC, and case management in one platform✓×
Real-time risk scoring on every transaction✓×
End-to-end data orchestration and enrichment✓×
Good to know
Common questions about FraudNet
What is FraudNet's core offering?+
An enterprise-level fraud and risk management platform combining AI-powered fraud detection, compliance (AML, KYC), and risk management with a no-code rules engine and real-time monitoring.
How does the Learning Loop system work?+
The Learning Loop continuously adapts and improves detection accuracy by incorporating new data and patterns, using supervised machine learning and advanced AI to enhance fraud prevention over time.
What results can companies expect?+
Companies typically see 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 with customized fraud prevention and risk management solutions.
What AI technologies does FraudNet use?+
FraudNet employs 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.
Is technical expertise required 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 maintaining powerful capabilities.
What compliance solutions are included?+
FraudNet offers AML and KYC verification, entity screening, and transaction monitoring as part of its integrated compliance suite.
Move forward
Ready to cut false positives by 97%?
Book a 30-minute call to see how FraudNet's AI engine fits your fraud stack and compliance requirements.
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