Proofpoint had six patents in digitalization during Q1 2024. Proofpoint Inc’s patent involves a data enrichment engine that analyzes web content source code to find contextual information for abbreviated domain names. By identifying relationships between words in the source code and the domain name, the engine can improve domain classification accuracy. It also queries WHOIS servers to check if similar domains are registered to the same entity, extracting keywords for domain risk analysis. The identified candidate domains can then be used for further analysis by a domain filter. GlobalData’s report on Proofpoint gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Proofpoint grant share with digitalization as a theme is 66% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Data enrichment systems and methods for abbreviated domain name classification (Patent ID: US20240095289A1)

The patent filed by Proofpoint Inc. describes a method and system for data enrichment to find contextual information for an abbreviated domain name. The data enrichment engine combs through web content source code to identify words with initial characters matching those of the domain name, establishing a relationship between them. By querying a WHOIS server, the engine can determine if candidate domains with matching initial characters are owned by the same entity, extracting keywords for domain risk analysis. The candidate domains are then provided to a downstream computing facility for classification.

The system involves receiving an abbreviated domain name associated with a web page, extracting textual content, identifying words with matching initial characters, determining ownership of candidate domains, and providing them for classification. The method includes steps to handle different types of characters in domain names, record relationships between words and domain names, and find new domain names based on extracted keywords. Additionally, the system can query WHOIS servers, perform reverse lookup procedures, and select words based on frequency of occurrence in textual content. Overall, the patent outlines a comprehensive approach to enriching domain name data for more accurate classification and risk analysis.

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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.