Guidewire Software‘s patent involves a method for assessing cyber security risks in a computer network, recommending policy changes, and predicting actions based on reassessed risks. The technology uses a computer agent to collect information and employs machine learning for predictions. GlobalData’s report on Guidewire Software 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 Guidewire Software, Digital lending was a key innovation area identified from patents. Guidewire Software's grant share as of January 2024 was 69%. Grant share is based on the ratio of number of grants to total number of patents.
Cyber security risk assessment and policy recommendation method
A recently granted patent (Publication Number: US11863590B2) outlines a method for assessing the risk of a cyber security failure in a computer network of an entity. The method involves using a computer agent to collect information from accessible Internet elements, determining circumstantial or indirect information indicative of the entity, and assessing the relative strength of this information. Based on the assessed risk, the method automatically suggests changes to the cyber security policy criteria and recommends network changes to reduce the risk. Additionally, the system reassesses the risk, predicts potential actions of the entity using machine learning, and can automatically implement recommended network changes without intervention.
Furthermore, the patent includes claims for a system and a computer program product that embody similar functionalities. The system comprises memory and hardware processors configured to assess cyber security risks, recommend network changes, and predict entity actions based on the reassessed risk. It can also estimate impacts of cyber security failures dynamically, particularly after the entity enacts recommended network changes. The computer program product, stored in a tangible medium, contains instructions for assessing risks, recommending changes, reassessing risks, and predicting entity actions using machine learning. Overall, the patent aims to provide a comprehensive approach to cyber security risk assessment and mitigation, leveraging machine learning and automated recommendations to enhance the security posture of entities' computer networks.
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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.
