Proofpoint had 18 patents in cybersecurity during Q1 2024. Proofpoint Inc’s patents filed in Q1 2024 focus on cybersecurity training, dynamic message analysis using machine learning, domain engineering analysis for brand relevance, message verification using cryptographic keys, and anomaly detection in cybersecurity training modules. These technologies aim to enhance security measures and improve training effectiveness for enterprise organizations. 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 cybersecurity 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: Prompting users to annotate simulated phishing emails in cybersecurity training (Patent ID: US20240078924A1)

Proofpoint Inc. has filed a patent related to dynamically generating simulated attack messages for cybersecurity training. The system involves a computing platform that generates and sends simulated attack messages to enterprise user devices, allowing users to interactively annotate selected elements of the message. Based on these annotations, the platform identifies training areas for the user, generates customized training modules specific to these areas, and sends them to the user's device for display. The training modules are designed to allow users to interactively complete the training based on their selections.

The patent claims outline the functionality of the computing platform in detail, including generating electronic communications with simulated attack messages, receiving user selections annotating elements of the messages, and generating customized training modules based on machine learning engine training. The platform calculates user performance scores, adapts training modules to specific training areas, and updates machine learning models based on user interactions. Additionally, the system can aggregate user selections from multiple devices, compute the frequency of correct selections, and adjust score weightings for elements based on user interactions. Overall, the patent describes a comprehensive system for improving cybersecurity training through interactive simulated attack messages and customized training modules.

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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.