Proofpoint had 14 patents in cybersecurity during Q4 2023. Proofpoint Inc’s patents in Q4 2023 focus on utilizing machine learning for detecting malicious sites, analyzing message relationships for security scoring, generating simulated phishing lures for training, detecting brand imposters on social media, and classifying URLs based on maliciousness scores. These technologies aim to enhance cybersecurity measures and protect against various threats in the digital landscape. GlobalData’s report on Proofpoint gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Proofpoint grant share with cybersecurity as a theme is 64% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Uniform resource locator classifier and visual comparison platform for malicious site detection (Patent ID: US20230421607A1)
The patent filed by Proofpoint Inc. focuses on using machine learning to detect and identify malicious sites. The computing platform receives image data of a webpage, computes a computer vision vector representation, compares it to stored vectors of known page elements, and inputs the feature into a classifier to generate a phish classification score. If the score exceeds a threshold, actions are triggered on a cybersecurity server. The platform also includes instructions for generating a screenshot database, updating it, comparing image data to ancestor pages, and setting flags in a cybersecurity database based on classification scores.
The computing platform's method involves comparing image data to stored vectors, generating a phish classification score, and triggering actions on a cybersecurity server based on the score. The platform can set flags in a cybersecurity database, update a screenshot database, and compare image data to ancestor pages. Additionally, the platform can perform visual and non-visual comparisons, use convolutional neural networks for vector representation, and utilize machine learning classifiers. The actions triggered on the cybersecurity server include directing analysis of URLs, displaying warnings, or blocking URLs based on the classification scores. Overall, the patent outlines a comprehensive system for detecting and responding to malicious URLs using machine learning and computer vision techniques.
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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.
