Riskified and SAS Fraud Management compete in fraud prevention solutions. Riskified often stands out in scalability and user satisfaction, while SAS offers a comprehensive suite of analytical tools, making it suitable for enterprises requiring detailed data analysis.
Features: Riskified provides real-time fraud prevention, chargeback guarantee, and machine learning adaptability. SAS Fraud Management includes extensive data analytics, integration with existing systems, and a customizable rules engine.
Ease of Deployment and Customer Service: Riskified offers streamlined implementation with dedicated support, ensuring efficient deployment. SAS Fraud Management provides flexible deployment options with substantial customer support, though its complexity might lengthen implementation time.
Pricing and ROI: Riskified has straightforward pricing with a performance-based model, offering significant ROI by reducing fraud losses. SAS Fraud Management may require a higher initial setup cost but provides considerable long-term ROI through its analytical features.
Riskified's fraud detection solution protects eCommerce merchants from chargebacks while minimizing the impact of false declines on online revenues. Machine learning models eliminate the need to manually adjust fraud detection, and elastic linking drives decision speed and accuracy.
Respond faster to new threats. Reduce false positives for a better customer experience. SAS Fraud Management uses industry-leading data analytics and machine learning to monitor payments and nonmonetary transactions, as well as events, enabling you to identify and respond to unwanted and suspicious behavior in real time.
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