Tenable has patented a method to evaluate cyber risks on network assets in the presence of security controls. The technique involves quantifying the impact of existing security measures using a novel scoring system and causal inference. GlobalData’s report on Tenable gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Tenable, was a key innovation area identified from patents. Tenable's grant share as of May 2024 was 35%. Grant share is based on the ratio of number of grants to total number of patents.
Method for determining cyber risk score of target asset
A recently granted patent (Publication Number: US11973788B2) outlines a method for determining a cyber risk score of a target asset within a network. The method involves gathering vulnerability scan data, identifying vulnerabilities, determining a raw cyber risk score, and identifying applicable security controls. The effective cyber risk score is then calculated based on the identified security control and an observational dataset associated with various assets, security controls, and vulnerabilities. The observational dataset includes observed outcomes of vulnerability checks, providing valuable insights into the cybersecurity posture of the target asset.
Furthermore, the patent details the criteria for determining the effective cyber risk score, including setting criteria weights, conducting effectiveness scoring of security controls, and evaluating relative tradeoff scores. The method utilizes decision strategy spaces, truncated distributions, and ordered weighted averaging to generate comprehensive risk assessments. Additionally, causal inferences are employed to estimate individual treatment effects and capabilities of security controls. The patent also introduces a cyber risk scorer system comprising memory and processors configured to execute the described method, emphasizing the importance of robust cybersecurity measures in today's digital landscape.
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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.
