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

Cut fraud 80% in 90 days

AI-powered fraud detection with real-time risk scoring, a no-code rules engine, and a Global Anti-Fraud Network. Deploy in weeks, not months.

See how FraudNet fits your stack in a 30-minute walkthrough.

Trusted by teams at

RivertyPlanetPaymentBokuNelnetUnitellerCitibankMastercardIMB Bank

What you get

Everything you need to detect, prevent, and comply

One platform replaces fragmented tools for fraud, risk, and compliance teams.

1.

Real-time risk scoring

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

2.

No-code rules engine

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

3.

Global Anti-Fraud Network

Collective intelligence shared across organizations surfaces fraud patterns you have not seen yet.

4.

Advanced AI models

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

5.

Learning Loop system

Outcomes feed back into models continuously, improving detection accuracy without manual retraining.

6.

Compliance suite

Integrated AML and KYC verification, entity screening, and transaction monitoring in one workflow.

7.

Flexible dashboards

Customizable analytics and reporting interfaces give your team real-time visibility into risk trends.

8.

Case management

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

The shift

Legacy fraud tools cost you revenue and time

Most fraud systems were built for yesterday's threats. FraudNet adapts in real time.

The old way

  • ×High false positive rates flag legitimate transactions, creating customer friction and lost revenue
  • ×Evolving fraud tactics bypass conventional security measures faster than rules can keep up
  • ×Manual reviews drain time and resources from your fraud and risk teams
  • ×Separate point solutions for fraud, compliance, and risk don't talk to each other
  • ×Delayed detection means fraud is already gone before alerts fire

How we compare

FraudNet vs. legacy fraud tools

FraudNetLegacy systems
Real-time risk scoring+×
No-code rules engine for business users+×
Graph Neural Networks and Generative AI+×
Global Anti-Fraud Network with shared intelligence+×
Integrated AML, KYC, and entity screening+×
Learning Loop for continuous improvement+×
Deploy in weeks, not months+×
End-to-end case management+×

Getting started

From data ingestion to decision in milliseconds

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 no-code rules to generate risk scores.

3.

Decide in real time

The decision engine returns risk scores through RESTful APIs and webhooks, enabling immediate approve, review, or block actions.

4.

Learn and improve

The Learning Loop feeds outcomes back into models, continuously refining accuracy so detection gets sharper over time.

Proof

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

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 comprehensive fraud detection, compliance, and risk management with features like 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, utilizing supervised machine learning and advanced AI technologies to enhance fraud prevention capabilities.

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 through FraudNet's solutions.

Which industries does FraudNet serve?+

FraudNet primarily serves Payments, Financial Services, Fintechs, and Commerce industries 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 comprehensive compliance solutions including AML and KYC verification, entity screening, and transaction monitoring.

How does the Global Anti-Fraud Network work?+

The Global Anti-Fraud Network provides collective intelligence across the platform's user base, enabling shared insights and enhanced fraud prevention for all participants.

Next step

Ready to cut fraud by 80%?

Book a 30-minute call to see how FraudNet deploys in weeks and starts reducing fraud fast.

Book a call