97% fewer false positives80% less fraud20% higher approvals

Stop fraud in milliseconds, not days

FraudNet scores every transaction in real time with custom AI models and a no-code rules engine. Deploy in weeks, adapt in minutes, and cut fraud losses by up to 80%.

Trusted by teams at

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

Features

Everything you need to detect, decide, and adapt

A single platform replaces fragmented tools and gets your team operational fast.

1

Real-time risk scoring

Instant AI-powered assessment of every transaction and user event, so fraud is blocked before it settles.

2

No-code rules engine

Business users create and modify fraud rules without engineering support, adapting to new patterns in minutes.

3

Custom AI models

Graph Neural Networks, Generative AI, and supervised machine learning trained on your data for precise pattern recognition.

4

Learning Loop

Outcomes feed back into models automatically, so detection accuracy improves continuously without manual retraining.

5

Global Anti-Fraud Network

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

6

Compliance suite

Integrated AML, KYC, entity screening, and transaction monitoring keep you compliant across jurisdictions.

7

Flexible dashboards

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

8

Case management

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

Why teams switch

Legacy fraud tools slow you down

Point solutions, manual reviews, and rigid rules engines cost you revenue and time. FraudNet replaces all of it with one adaptive platform.

The old way

  • ×High false positive rates flag legitimate customers and kill approval rates
  • ×Manual reviews drain analyst hours and delay legitimate transactions
  • ×Fraud tactics evolve faster than static rules can keep up
  • ×Multiple point solutions for fraud, compliance, and risk create integration headaches
  • ×No visibility into fraud patterns beyond your own data

The FraudNet way

  • Real-time risk scoring on every transaction with AI models trained on your data
  • No-code rules engine lets business users adapt detection in minutes, no engineering required
  • Learning Loop continuously retrains models on new outcomes so accuracy improves automatically
  • One integrated platform covers fraud detection, AML, KYC, entity screening, and case management
  • Global Anti-Fraud Network pools intelligence across organizations for broader pattern visibility

How it works

From data to decision in real time

From first touch to real results, without the guesswork.

1

Ingest and 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.

2

Analyze with AI

Graph Neural Networks and Generative AI models analyze patterns and entity relationships, combined with your no-code rules in the decision engine.

3

Score and decide

The decision engine outputs a risk score in real time, triggering approve, review, or block actions through RESTful APIs and webhooks.

4

Learn and improve

The Learning Loop feeds outcomes back into the models, so detection accuracy adapts to new fraud tactics automatically.

Evidence

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

Common questions

What is FraudNet's core offering?+

An enterprise 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 incorporates new data and outcomes into supervised machine learning models, improving detection accuracy over time without manual retraining.

What results can we 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?+

Payments, Financial Services, Fintechs, and Commerce, with customized fraud prevention and risk management for each.

What AI technologies does FraudNet use?+

Supervised Machine Learning, Graph Neural Networks, and Generative AI for advanced pattern recognition and risk assessment.

Do we need technical expertise to use the platform?+

No. The no-code rules engine and flexible dashboards make the platform accessible to business users while maintaining advanced capabilities.

How does the Global Anti-Fraud Network work?+

It pools fraud patterns and insights across the platform's user base, giving every participant broader intelligence than their own data alone.

What compliance solutions are included?+

Integrated AML and KYC verification, entity screening, and transaction monitoring, all within the same platform.

Move forward

Cut fraud losses by up to 80% in 90 days

Book a call to see how FraudNet deploys in weeks and adapts to your risk patterns in real time.

Book a call