97% fewer false positives80% less fraud20% more approvals

Stop fraud without stopping good customers

FraudNet combines Graph Neural Networks, Generative AI, and a global anti-fraud network to score risk in real time. Your team adapts rules in minutes with no code.

Capabilities

Everything you need to detect, decide, and adapt

A multi-layered architecture that ingests, enriches, scores, and learns from every transaction.

I

No-code rules engine

Business users create and modify fraud detection rules without technical expertise, adapting to new fraud patterns in minutes.

II

Real-time risk scoring

Instant AI-powered assessment of transactions and users provides immediate fraud prevention at the point of action.

III

Global Anti-Fraud Network

Collective intelligence shared across organizations gives you fraud pattern data far beyond your own experience.

IV

Graph Neural Networks

Maps relationships between entities to uncover coordinated fraud rings and hidden connections that rules alone miss.

V

Learning Loop system

Continuously feeds outcomes back into models so detection accuracy improves with every transaction processed.

VI

Flexible dashboards

Customizable analytics and reporting interfaces deliver real-time insights tailored to your team's workflow.

VII

Entity screening & monitoring

Screen and monitor entities across your ecosystem with integrated AML and KYC verification tools.

VIII

Case management

End-to-end workflow management for fraud investigations and resolution tracking, all in one platform.

Trusted by teams at

CitibankMastercardRivertyBokuNelnetPlanetPaymentArvatoBankjoy

How it works

From data ingestion to real-time decision in milliseconds

A clear path from first step to measurable outcome.

I

Ingest & enrich

Collect real-time transaction and user data through APIs and SDKs, then enhance it with signals from the Global Anti-Fraud Network and third-party sources.

II

Analyze with AI

Graph Neural Networks and Generative AI models analyze patterns and relationships between entities to identify fraud others miss.

III

Score & decide

The decision engine combines ML model outputs with your no-code rules to generate risk scores and trigger real-time actions via APIs and webhooks.

IV

Learn & improve

The Learning Loop feeds every outcome back into the models, continuously refining detection accuracy as new fraud patterns emerge.

97%Reduction in false positives
80%Reduction in fraud
20%Boost in approval rates

Proof

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.”
Arvato Arvato
“FraudNet's combination of customized machine learning and flexible rules management has been transformative.”
Countingup Countingup

Side by side

FraudNet vs. point solutions

FraudNetLegacy tools
End-to-end fraud, risk, and compliance in one platform×
No-code rules engine for non-technical users×
Graph Neural Networks for entity relationship mapping×
Shared intelligence across a global network×
Continuous learning loop that adapts to new patterns×
Real-time risk scoring at the point of transaction×

Common questions

Common questions

What is FraudNet's core offering?+

An enterprise-level fraud and risk management platform combining AI-powered 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 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.

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 integrated AML and KYC verification, entity screening, and transaction monitoring as part of its compliance suite.

Get started

Ready to cut fraud by 80%?

Book a call with our team to see how FraudNet fits your fraud, risk, and compliance workflow.

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