Introducing behavior-based user risk scoring in Cloudflare One

Cloudflare has introduced new capabilities to its secure access service edge (SASE) platform, Cloudflare One, which uses AI/machine learning techniques to detect risk based on user behavior and improve security posture across organizations. The platform simplifies the process of tracking risk changes within a business by employing user risk scoring. This approach enables administrators to specify behavioral rules and generate dynamic user risk scores, allowing for continuous evaluation and verification in a Zero Trust environment. User risk scoring detects user activities and behaviors that could introduce risk to an organization's systems and data, assigning a score of Low, Medium, or High to the involved users. This feature is sometimes referred to as user and entity behavior analytics (UEBA) and helps teams detect possible account compromise, company policy violations, and other risky activities.

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