97% fewer false positives80% less fraud20% higher approval rates

Cut fraud 80% without a long rollout

FraudNet deploys in weeks, not months. No-code rules, real-time risk scoring, and AI that learns from every transaction so your team starts catching fraud faster.

See how fast your team can go live.

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

Trusted by teams at

CitibankMastercardRivertyBokuArvatoPlanetPaymentNelnetBankjoy

Getting started

From data to decision in milliseconds

A simple route from setup to steady output.

I

Connect your data

Ingest real-time transaction and user data through APIs and SDKs. FraudNet enriches it with signals from the Global Anti-Fraud Network and third-party sources.

II

AI analyzes every signal

Graph Neural Networks and Generative AI models analyze patterns and entity relationships. The no-code rules engine combines with ML outputs to generate a risk score.

III

Act on the decision

Real-time risk scores route through RESTful APIs and webhooks to your systems for immediate action - approve, review, or block.

IV

Models learn and improve

The Learning Loop feeds outcomes back into the models, continuously refining accuracy as fraud tactics evolve.

Capabilities

Everything your fraud team needs in one platform

No stitching together multiple vendors. FraudNet covers detection, compliance, and investigation end to end.

I

No-code rules engine

Business users create and modify fraud detection rules without writing code, so your team adapts to new threats in minutes.

II

Real-time risk scoring

AI-powered analysis scores every transaction and user instantly, stopping fraud before it settles.

III

Global Anti-Fraud Network

Collective intelligence shared across the platform's user base gives you visibility into threats you have not seen yet.

IV

Custom AI models

Graph Neural Networks, Generative AI, and supervised machine learning detect complex patterns and entity relationships.

V

Learning Loop

Outcomes feed back into the models automatically, so detection accuracy improves with every transaction processed.

VI

Compliance built in

AML, KYC verification, entity screening, and transaction monitoring are integrated - no separate compliance stack required.

VII

Flexible dashboards

Customizable analytics and reporting surfaces give your team real-time visibility into risk trends and operational metrics.

VIII

Case management

End-to-end workflow tools manage fraud investigations and resolution tracking from alert to closure.

What teams see

Teams growing with FraudNet

“FraudNet flexibility has helped our AfterPay business grow by allowing us to meet our increasingly complex customer and country requirements.”
Arvato Customer - Arvato
“FraudNet's combination of customized machine learning and flexible rules management has been transformative.”
Countingup Customer - Countingup

Side by side

FraudNet vs. legacy fraud tools

FraudNetLegacy tools
Deploy in weeks, not months+×
No-code rules for business users+×
Integrated AML, KYC, and case management+×
Shared global fraud intelligence network+×
Continuous learning from outcomes+×
Graph Neural Networks and Generative AI+×
Real-time risk scoring+×

Good to know

Common questions

How fast can our team go live with FraudNet?+

FraudNet is designed for rapid deployment. Most teams onboard in weeks, not months, with pre-built integrations and a no-code rules engine that requires no engineering work to get started.

Do we need technical expertise to manage the platform?+

No. The no-code rules engine and flexible dashboards are built for business users. Your fraud team can create and modify detection rules without writing code.

What results do companies typically see?+

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 pattern recognition and entity-level risk assessment.

How does the Global Anti-Fraud Network work?+

The Global Anti-Fraud Network pools fraud patterns and insights across multiple organizations, giving every participant visibility into threats beyond their own data.

What compliance capabilities are included?+

FraudNet includes AML, KYC verification, entity screening, and transaction monitoring as part of the integrated platform.

Get started

Start catching fraud faster

Book a 30-minute call to see how quickly your team can deploy FraudNet and start reducing fraud losses.

Book a call