Riskified AI is an e-commerce fraud and risk intelligence platform that uses advanced machine learning to safeguard online merchants from fraud, prevent chargebacks, and drive revenue growth. With the help of real-time transaction analysis, approval optimization, and the prevention of policy abuse, Riskified AI enables a business to scale confidently and securely.
Riskified AI enables online stores to have advanced risk-assessment features that are in sync with the changing shopper behavior. This platform guides companies to make sure and easy order decisions by analyzing complicated data patterns and at the same time letting the customer have a good experience.
Riskified's automated decision-making process minimizes the difficulties of operation and also provides a strong shield to the merchants against the new dangers. The system opens up ways for more revenue due to its being able to tell orders apart more accurately and also by supporting secure and scalable growth of online commerce.
| Legal Name | Riskified Ltd |
| Headquarters | New York, NY |
| Business Model | B2B |
| Founding Date | 2012 |
| No. of Employees | Approximately 781 (As of 2025) |
Riskified offers services such as AI-powered fraud management, real-time risk intelligence, e-commerce abuse prevention, chargeback protection, automated decisioning, and account takeover prevention.
| Eido Gal | Chief Executive Officer & Co-Founder |
| Assaf Feldman | Chief Technology Officer & Co-Founder |
| Aglika Dotcheva | Chief Financial Officer |
| Ravi Kumaraswami | President of Worldwide Field Operations |
| Neta Givati Levi | Vice President of Human Resources |
| Shahar Yaari | Leading Product Manager |
| Jeff Otto | Chief Marketing Officer |
| Eric Treichel | General Counsel |
Riskified earns fees for approved transactions and provides chargeback liability coverage and fraud prevention services.
Client Segments: E-commerce merchants, online retailers, marketplaces, luxury brands, travel platforms, and digital goods sellers.
Target Customers: Marketplaces, retail brands, ticketing platforms, subscription services, and enterprises aiming to reduce fraud and manage chargebacks.
Target Geography: Global, North America, Europe, Asia-Pacific, Latin America, and the Middle East.