Fraud.net is a data science and advanced technology company focused on mitigating fraud and improving business processes. Our goal is to make every digital transaction safe. We currently serve e-commerce, financial services, hospitality & travel, and loyalty & reward companies.

Fraud.net’s unified architecture is the foundation of the Enterprise Platform, which includes:

-Collective Intelligence Network: Leverage the experience of the network instead of working alone. We maintain a secure and anonymized record of all evaluated customer transactions across our global network.

-Data Enrichment: Combining the Collective Intelligence Network with machine learning and 4,500+ predictive signals, we offer the most accurate fraud solution.

-AI/Machine Learning: We train and deploy industry and customer specific deep learning models to identify fraud patterns.

Customers manage a real-time fraud detection and prevention program through:

-Case Management Portal: provides users with...
Fraud.net is a data science and advanced technology company focused on mitigating fraud and improving business processes. Our goal is to make every digital transaction safe. We currently serve e-commerce, financial services, hospitality & travel, and loyalty & reward companies.

Fraud.net’s unified architecture is the foundation of the Enterprise Platform, which includes:

-Collective Intelligence Network: Leverage the experience of the network instead of working alone. We maintain a secure and anonymized record of all evaluated customer transactions across our global network.

-Data Enrichment: Combining the Collective Intelligence Network with machine learning and 4,500+ predictive signals, we offer the most accurate fraud solution.

-AI/Machine Learning: We train and deploy industry and customer specific deep learning models to identify fraud patterns.

Customers manage a real-time fraud detection and prevention program through:

-Case Management Portal: provides users with real-time access to review transaction data. Users can create and apply custom business and risk rules to automatically route groups of new transactions with certain characteristics or Risk Scores to different decision workflows such as auto-approve, auto-cancel or manually review.

-Visual Analytics & Data Mining Platform: real-time visualizations and data mining capabilities to inform your fraud detection and prevention strategy and support reporting needs.

-AI / Machine Learning Applications: data science expertise is extended through our machine learning Risk Score and Rules Recommendation Engine.
More information

Employees

Kevin Shine
Admin
Kevin Shine Partnerships
Robert Anderson
Admin
Robert Anderson CEO Serial entrepreneur with strong track record of building innovative, fast-growing, and problem-solving technology companies.