Proofpoint had two patents in future of work during Q4 2023. Proofpoint Inc’s patent filed in Q4 2023 focuses on dynamic message analysis using machine learning to identify relationships between message sender domains and recipient domains. A security scoring process is applied to compute a weighted security score for the sender domain, which is then used to determine a weighted grade and execute enhanced protection actions. GlobalData’s report on Proofpoint gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

Proofpoint grant share with future of work as a theme is 50% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Dynamic message analysis platform for enhanced enterprise security (Patent ID: US20230353591A1)

The patent filed by Proofpoint Inc. describes a computing platform that uses automated methods to analyze relationships between message sender domains and recipient domains. By applying a security scoring process, the platform computes a weighted security score for sender domains and determines a grade based on this score. Depending on the grade, the platform executes enhanced protection actions for the sender domain. The platform can identify relationships manually or automatically, evaluate security based on various factors, and trigger different protection actions based on the grade.

The computing platform's method involves identifying relationships between sender and recipient domains using automated methods, computing a final set of rank-ordered external domains, applying a security scoring process, determining a grade, and executing enhanced protection actions. The platform can also use manual methods to identify relationships, receive information from enterprise user devices, and evaluate security based on factors like security posture, historical threat information, and trust metrics. The protection actions triggered can range from informative alerts and reports to active measures like enforcing email authentication verification and security awareness training, depending on the grade assigned to the sender domain.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.