ForeScout Technologies had 15 patents in cybersecurity during Q1 2024. ForeScout Technologies Inc has filed patents for technologies related to threat attribution, entity profiling and classification, entity visibility, sub-networks based cyber security, and device classification. These technologies involve methods for determining incidents based on network traffic, profiling entities based on behaviors, monitoring entities on a network, updating subnets based on device usage, and classifying devices based on device information. GlobalData’s report on ForeScout Technologies gives a 360-degree view of the company including its patenting strategy. Buy the report here.

ForeScout Technologies grant share with cybersecurity as a theme is 53% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Automatic threat actor attribution based on multiple evidence (Patent ID: US20240064158A1)

The patent filed by ForeScout Technologies Inc. describes systems and methods for threat attribution, involving accessing network traffic to identify coordinated attacks, determining incidents with indicators of compromise (IoCs) and Tactics, Techniques and Procedures (TTPs), computing probability functions based on IoCs and TTPs, generating an aggregate probability function, deriving attribution information, and storing it with the incident. The method includes mapping IoCs to known threat actors, computing probabilities of attribution, inputting TTPs to a trained classifier, grouping IoCs into types, and combining multiple probability functions to form the aggregate probability function.

The patent also includes claims for a method, system, and computer-readable medium for implementing the threat attribution process. The method involves accessing network traffic, determining incidents, computing probability functions based on IoCs and TTPs, generating an aggregate probability function, deriving attribution information, and storing it with the incident. The system comprises a memory and a processing device to perform the steps outlined in the method claims. The computer-readable medium contains instructions for executing the threat attribution process, including mapping IoCs to threat actors, inputting TTPs to a trained classifier, grouping IoCs into types, and combining probability functions to generate the aggregate probability function.

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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.