Proofpoint had eight patents in artificial intelligence 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, and classifying URLs based on maliciousness scores. These technologies aim to enhance cybersecurity measures by leveraging automation and data analysis techniques. 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 artificial intelligence 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: Uniform resource locator classifier and visual comparison platform for malicious site detection (Patent ID: US20230421607A1)

The patent filed by Proofpoint Inc. describes a system for detecting and identifying malicious sites using machine learning. The system involves a computing platform that receives image data of a webpage, computes a computer vision vector representation of the image data, compares it to stored numeric vectors of known page elements, and generates a phish classification score to determine the likelihood of the URL being malicious. If the score exceeds a threshold, the system triggers actions on a cybersecurity server. These actions include setting flags in a cybersecurity database, updating a screenshot database with images of URLs, and comparing image data to ancestor pages to determine similarity.

The computing platform utilizes a convolutional neural network to compute the computer vision vector representation and can perform visual and non-visual comparisons between webpage elements. The system can also identify changes in webpage images, capture new images, and update the screenshot database accordingly. Additionally, the cybersecurity server monitors the database for flags and performs actions such as directing other platforms to analyze URLs or blocking malicious URLs. Overall, the system provides a comprehensive approach to detecting and responding to potential phishing attacks based on visual similarities and machine learning algorithms.

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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.