How an Order is Reviewed
A peek under Riskified’s hood
By Yarden Altshull and Chantal TannerNovember 2018
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Inside this report
Get a closer look at how Riskified reviews orders for fraud, discover what tools go into the decision process and why machine learning is important to ensure fraud management never impedes growth.
Data Generation and Collection
Machine Learning – Features and Statistical Models
Post-Decision & Expert Tagging
![Learn how Riskified mobilizes data to instantly discern good customers from bad actors](https://www.riskified.com/app/uploads/2021/05/Icon_Customer-Friction.png)
Learn how Riskified mobilizes data to instantly discern good customers from bad actors
![Find out how Riskified adapts to your industry, products, business flows, and geographies](https://www.riskified.com/app/uploads/2021/05/Icon_Operations-Technical.png)
Find out how Riskified adapts to your industry, products, business flows, and geographies
![See how proprietary and external tools enrich data to improve decision accuracy](https://www.riskified.com/app/uploads/2021/05/Icon_fraud-ring.png)
See how proprietary and external tools enrich data to improve decision accuracy
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