97% fewer false positives80% less fraudDeploy in weeks

Deploy enterprise fraud protection in weeks

Cut fraud by 80% and false positives by 97% with AI-powered risk scoring that goes live fast and adapts continuously to new threats.

See how fast your team can go live.

Trusted by teams at

CitibankMastercardRivertyPlanetPaymentBokuNelnetArvatoCountingup

What you get

Everything you need to detect, decide, and adapt

A single platform combining advanced AI, real-time monitoring, and compliance tools - built for fast implementation and continuous improvement.

1.

Real-time risk scoring

Instant AI-powered assessment of transactions and users so you catch fraud before it settles, not after.

2.

Advanced AI models

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

3.

No-code rules engine

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

4.

Learning Loop system

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

5.

Global Anti-Fraud Network

Collective intelligence shared across organizations gives you broader fraud visibility than your own data alone.

6.

Compliance suite

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

The shift

Stop fraud faster without slowing down good customers

Legacy systems flag legitimate transactions, miss new attack patterns, and take months to integrate. FraudNet changes the timeline.

The old way

  • ×High false positive rates create customer friction and lost revenue
  • ×Manual reviews drain time and resources across your fraud team
  • ×Point solutions for fraud, compliance, and risk are hard to stitch together
  • ×Slow deployments mean months pass before you see any protection

The FraudNet way

  • +Real-time risk scoring with AI cuts false positives by 97%
  • +No-code rules engine lets business users adapt to new fraud patterns instantly
  • +End-to-end platform unifies fraud detection, compliance, and case management
  • +Pre-built integrations and RESTful APIs get you live in weeks, not months
97%Reduction in false positives
80%Reduction in fraud
20%Boost in approval rates
WeeksNot months to deploy

Process

From data to decision in milliseconds

From first touch to real results, without the guesswork.

1.

Ingest real-time data

Collect transaction and user data through APIs and SDKs the moment activity happens.

2.

Enrich with network signals

Enhance incoming data with signals from the Global Anti-Fraud Network and third-party sources.

3.

Analyze with AI

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

4.

Decide and act

The decision engine combines ML outputs with your no-code rules to generate a risk score in real time.

5.

Learn and improve

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

What teams see

What teams say after going live

“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

Answers

Answers before you book a call

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 fast can we deploy FraudNet?+

FraudNet is built for fast implementation. With pre-built integrations and RESTful APIs, teams typically go live in weeks rather than months, with minimal disruption to existing systems.

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 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.

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.

Next step

See FraudNet live in your environment

Book a call to learn how fast your team can deploy AI-powered fraud prevention and start reducing losses.

Book a call