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

Cut fraud losses by 80% in 90 days

AI-powered fraud detection with real-time risk scoring, a shared global anti-fraud network, and built-in AML and KYC compliance. Built for payments, fintech, and financial services teams.

Talk to our team about your fraud and compliance challenges.

What it does

Everything you need to detect, prevent, and comply

One integrated platform replaces fragmented point solutions for fraud, risk, and compliance.

01

Custom AI models

Graph Neural Networks, Generative AI, and supervised machine learning analyze entity relationships and detect patterns traditional rules miss.

02

Real-time risk scoring

Instant assessment of every transaction and user through AI-powered analysis, with anomaly detection that flags threats as they happen.

03

No-code rules engine

Business users create and modify fraud detection rules without engineering support, enabling rapid response to new attack vectors.

04

Learning Loop system

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

05

Global Anti-Fraud Network

Collective intelligence shared across the platform's user base gives you visibility into fraud patterns beyond your own data.

06

AML and KYC compliance

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

07

Flexible dashboards

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

08

Case management

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

Trusted by teams at

CitibankMastercardRivertyBokuNelnetPlanetPaymentArvatoBankjoy

Your path

From data ingestion to real-time decision in milliseconds

A simple route from setup to steady output.

01

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.

02

Analyze with AI

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

03

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.

04

Learn and improve

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

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

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 AfterPay business - Arvato
“FraudNet's combination of customized machine learning and flexible rules management has been transformative.”
Countingup Fraud and risk team - 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, 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 capabilities for all participants.

Ready when you are

Ready to cut fraud by 80%?

Book a call with our team to see how FraudNet fits your fraud, risk, and compliance workflow.

Book a call