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

Cut fraud losses by 80% in 90 days

AI-powered fraud detection built for payments, fintech, and commerce teams. Real-time risk scoring, a global anti-fraud network, and integrated AML and KYC compliance in one platform.

Custom pricing based on your transaction volume and risk profile.

The shift

Legacy fraud tools cost you revenue and time

Most fraud systems were built for a slower era. FraudNet replaces them with adaptive AI that learns continuously.

The old way

  • ×High false positive rates flag legitimate transactions and frustrate good customers
  • ×Manual reviews drain analyst time and slow down operations
  • ×Point solutions for fraud, compliance, and risk require complex integration
  • ×Limited fraud intelligence confined to your own transaction history
  • ×Static rules cannot keep pace with rapidly evolving fraud tactics

With FraudNet

  • AI-powered risk scoring cuts false positives by 97% so good customers flow through
  • No-code rules engine lets business users adapt detection logic in minutes
  • One integrated platform covers fraud detection, entity risk, and AML/KYC compliance
  • Global Anti-Fraud Network pools intelligence across organizations for stronger detection
  • Learning Loop system continuously refines accuracy as new fraud patterns emerge

What it does

Everything you need to detect, prevent, and manage fraud

A single platform combining AI detection, compliance tooling, and investigation workflows.

I

Custom AI models

Graph Neural Networks, Generative AI, and supervised machine learning analyze entity relationships and transaction patterns for precise risk scoring.

II

Real-time risk scoring

Instant assessment of every transaction and user through AI-powered analysis, enabling immediate fraud prevention decisions.

III

No-code rules engine

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

IV

Global Anti-Fraud Network

Collective intelligence shared across the platform's user base, giving you fraud pattern data far beyond your own transaction history.

V

Learning Loop system

Outcomes feed back into the models continuously, so detection accuracy improves automatically as new fraud patterns emerge.

VI

AML and KYC compliance

Integrated entity screening, transaction monitoring, and case management keep you compliant across jurisdictions without separate tools.

VII

Flexible dashboards

Customizable analytics and reporting interfaces deliver real-time visibility into risk trends, alert queues, and investigation status.

VIII

Case management

End-to-end workflow management for fraud investigations and resolution tracking, from alert to closure.

Trusted by leaders in payments and financial services

CitibankMastercardRivertyBokuNelnetPlanetPaymentArvatoBankjoy

Getting started

From data ingestion to real-time decision in milliseconds

From first touch to real results, without the guesswork.

I

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.

II

Analyze with AI

Graph Neural Networks and Generative AI models analyze patterns and relationships between entities to identify risk.

III

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 APIs and webhooks.

IV

Learn and improve

The Learning Loop feeds outcomes back into the models, continuously refining detection accuracy with every transaction processed.

97%Reduction in false positives
80%Reduction in fraud losses
20%Boost in approval rates
90 daysTo measurable results

Outcomes

Teams growing safer 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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Choose a plan

Custom pricing built around your risk profile

Pricing is tailored to your transaction volume, industry, and scale of operations. Book a call to get a quote specific to your business.

Enterprise

Custom

Full platform access with custom AI models, Global Anti-Fraud Network, compliance suite, and dedicated support. Pricing based on your transaction volume and operational scale.

  • ✓ Real-time risk scoring and anomaly detection
  • ✓ No-code rules engine
  • ✓ Custom machine learning models
  • ✓ Global Anti-Fraud Network access
  • ✓ AML and KYC compliance tools
  • ✓ Case management and flexible dashboards
  • ✓ RESTful API and webhook integration
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Answers

Common questions about FraudNet

What results can we expect after implementing FraudNet?+

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 industries with customized fraud prevention and risk management solutions.

Do we need a technical team to manage the platform?+

No. FraudNet features a no-code rules engine and flexible dashboards, making it accessible for business users without technical expertise while still delivering advanced AI capabilities.

What AI technologies does FraudNet use?+

FraudNet uses Supervised Machine Learning, Graph Neural Networks, and Generative AI for advanced pattern recognition, entity relationship analysis, and fraud detection.

How does the Global Anti-Fraud Network work?+

The Global Anti-Fraud Network pools fraud patterns and insights across multiple organizations, giving every participant collective intelligence that goes far beyond their own transaction data.

What compliance capabilities are included?+

FraudNet offers integrated AML and KYC verification, entity screening, and transaction monitoring, all within the same platform as your fraud detection tools.

How does the Learning Loop improve detection over time?+

The Learning Loop continuously feeds outcome data back into the machine learning models, refining detection accuracy as new fraud patterns emerge and your transaction volume grows.

Next step

Ready to cut fraud by 80%?

Book a call with our team to see how FraudNet fits your transaction volume, compliance needs, and risk profile.

Book a call