Real-time risk scoring
Instant AI-powered assessment of every transaction and user so you catch fraud before it settles.
97% fewer false positives80% less fraud20% higher approval rates
Cut fraud losses by 80% in 90 days
FraudNet combines real-time risk scoring, Graph Neural Networks, and a shared global anti-fraud network so your team stops fraud faster without slowing down good customers.
Custom pricing based on your transaction volume and risk profile.
What it does
Everything your fraud and risk team needs in one platform
From real-time scoring to case management, FraudNet covers the full fraud lifecycle without bolt-on tools.
Graph Neural Networks + Generative AI
Detect complex relationships between entities and patterns that rules alone would miss.
No-code rules engine
Business users create and modify fraud detection rules without writing code or waiting on engineering.
Global Anti-Fraud Network
Collective intelligence shared across the platform's user base gives you broader visibility than your own data alone.
Learning Loop system
Outcomes feed back into the models continuously, improving detection accuracy as fraud tactics evolve.
Compliance suite (AML & KYC)
Integrated entity screening, transaction monitoring, and KYC verification keep you compliant across jurisdictions.
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, all in one place.
Trusted by leaders in payments and fintech
CitibankMastercardRivertyBokuNelnetPlanetPaymentArvatoBankjoy
How it works
From data ingestion to decision in milliseconds
From first touch to real results, without the guesswork.
Ingest and enrich
Real-time transaction and user data flows in through APIs and SDKs, then gets 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 surface risk.
Score and 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 and improve
The Learning Loop feeds outcomes back into the models, continuously refining accuracy so detection gets sharper over time.
97%Reduction in false positives
80%Reduction in fraud losses
20%Boost in approval rates
90 daysTo measurable results
Results
Teams growing with FraudNet
“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 tools
End-to-end fraud, risk, and compliance in one platform+×
Graph Neural Networks and Generative AI for pattern detection+×
Shared global anti-fraud network intelligence+×
No-code rules engine for non-technical users+×
Continuous learning loop that adapts to new fraud tactics+×
Real-time risk scoring with sub-second decisions+×
Built-in AML and KYC compliance tools+×
Questions
Common questions about FraudNet
What is FraudNet's core offering?+
FraudNet is an enterprise-level fraud and risk management platform that combines AI-powered solutions for fraud detection, compliance, 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 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 with customized fraud prevention and risk management solutions.
What AI technologies does FraudNet use?+
FraudNet uses Supervised Machine Learning, Graph Neural Networks, and Generative AI for advanced fraud detection and risk assessment.
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.
Next step
Ready to cut fraud losses by 80%?
Book a call with our team to see how FraudNet fits your transaction volume, risk profile, and compliance requirements.
Book a call→