Proofpoint. has been granted a patent for a method that assesses user security risks in computing networks. The system generates interaction items, collects user feedback and device data, and calculates a security risk score to quantify cybersecurity risks, enabling tailored subsequent interactions. GlobalData’s report on Proofpoint gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Proofpoint, Network traffic analysis was a key innovation area identified from patents. Proofpoint's grant share as of July 2024 was 58%. Grant share is based on the ratio of number of grants to total number of patents.
User security risk assessment in computing networks
The patent US12069083B2 outlines a method and system for enhancing cybersecurity through interactive user engagement. The core process involves generating an interaction item, which can be either a training or security item, and transmitting it to an end user’s electronic device via a network. The system then collects feedback data from the device, which includes user actions related to the interaction item and technical information about the device itself. This feedback is analyzed against a set of security risk scoring metrics to determine a security risk score that quantifies the cybersecurity risk posed by the user. Based on this score, the system generates and transmits subsequent interaction items tailored to the user's risk profile.
The claims further detail the components of the security risk scoring metrics, which include weights assigned to user actions and technical attributes such as device specifications and software versions. The method allows for adjustments in the frequency of presenting interaction items and can modify network security controls based on the calculated risk score. Additionally, the system can identify groups of users to calculate a collective security risk score, enhancing the overall security posture. The patent emphasizes the importance of user interaction and feedback in developing a responsive security framework that adapts to individual and collective user behaviors.
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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.
