AWS New York Summit 2019: Using ML to Detect & Prevent Fraud (FSV302)

Опубликовано 18 июля 2019, 17:31

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Based on NuData Security’s experience analyzing internet traffic, the company estimates that more than half is fake, which translates into significant fraudulent activity around login and authentication. Unfortunately, conventional username/password-based authentication is unreliable, and multifactor authentication adds user friction. Is there a way to solve account takeover, automated attacks, and known-user recognition without compromising user experience? NuData has taken a cloud-native approach to detecting identity threats and preventing fraud. Learn how the company built an AI/ML-powered platform that enables rapid response to an ever-changing attack landscape and accelerates innovation to crush attack vectors at any scale.

Full Title: Using ML to detect and prevent fraud without compromising user experience