Proofpoint had ten patents in digitalization during Q2 2024. Proofpoint Inc’s patents in Q2 2024 focus on enhancing cybersecurity measures through advanced detection and enforcement techniques. These include identifying spam messages based on tokens, homoglyphs, and URLs to block senders, utilizing a cyberthreat detection system to cluster unstructured content and determine cybersecurity clusters, and detecting malicious sites using machine learning by analyzing URL components and features to compute a phish classification score. 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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Proofpoint had no grants in digitalization as a theme in Q2 2024.
Recent Patents
Application: Bulk messaging detection and enforcement (Patent ID: US20240205181A1)
The patent filed by Proofpoint Inc. relates to a method and system for detecting and enforcing commercial and spam messaging. The system involves receiving text messages, tokenizing them, matching tokens, detecting homoglyphs and URLs, and flagging the sender based on these factors to block messages. The enforcement policies can be customized for specific users, and a machine learning model is trained using a training dataset to assist in flagging senders accurately.
The computing platform described in the patent includes processors, a communication interface, and memory storing instructions to receive text messages, determine channel types, tokenize messages, match tokens, detect homoglyphs and URLs, and flag senders based on these factors for enforcement. The system can generate and store enforcement policies, categorize tokens, and utilize a machine learning model to improve the accuracy of flagging spam senders. The method also involves analyzing messages to detect homoglyphs and URLs, comparing message frequency to a threshold before flagging, and categorizing URLs based on association with spam or commercial domains.
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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.
