Riskified

Riskified is a leading e-commerce fraud prevention platform developed by the Israeli-American company of the same name. The service positions itself not just as a filter, but as an intelligent revenue maximization tool that transforms fraud fighting from a cost center into a profit source. At its core is a patented AI model that analyzes thousands of behavioral and transactional signals in real-time to distinguish fraudulent operations from the actions of legitimate customers.

Key capabilities: the platform automatically approves or rejects online orders, providing a chargeback guarantee for approved transactions. It conducts deep analysis of user behavior on the site, device data, transaction history, and global fraud patterns. Key features include dynamic risk model updates, investigation of complex cases through manual expert review, and detailed analytics to identify vulnerabilities in business processes. Technically, the system can process millions of transactions daily with minimal delay, without affecting the user experience.

Riskified's uniqueness lies in its financially-backed business model: the company assumes responsibility and reimburses losses from chargebacks for any orders its system approves. This demonstrates exceptional confidence in the accuracy of its AI model. The platform deeply integrates with major payment gateways (such as Stripe, Adyen, Braintree), e-commerce platforms (Shopify, Magento, Salesforce Commerce Cloud), and order management systems, offering ready-made solutions for scaling. Its algorithms are constantly trained on a global data stream from thousands of stores worldwide, ensuring superior recognition of new fraud schemes.

Ideal for online retailers, marketplaces, and digital services seeking to reduce operational risks and increase conversion, especially in fashion, electronics, travel, and digital goods segments. The service is critical for CFOs, security leaders, and risk managers who want to replace rigid manual rules with a flexible AI approach, as well as for growth teams aiming to minimize false declines and avoid losing legitimate customers.