US 11,870,800 B1
Cyber security risk assessment and cyber security insurance platform
Jagannath Y. Kudale, Pleasanton, CA (US); Rajeev Gupta, Dublin, CA (US); Prabhakar Reddy, Dublin, CA (US); Vaidehi Kedlaya, Cupertino, CA (US); Harikrishna Prabhu, Pleasanton, CA (US); and Nikita Nalawade, Dublin, CA (US)
Assigned to Cowbell Cyber, Inc., Pleasanton, CA (US)
Filed by Cowbell Cyber, Inc., Pleasanton, CA (US)
Filed on Oct. 14, 2022, as Appl. No. 18/046,856.
Application 18/046,856 is a continuation of application No. 17/025,754, filed on Sep. 18, 2020.
Claims priority of provisional application 62/903,594, filed on Sep. 20, 2019.
Int. Cl. H04L 9/40 (2022.01); G06F 18/214 (2023.01); G06F 18/2433 (2023.01); G06N 5/01 (2023.01)
CPC H04L 63/1433 (2013.01) [G06F 18/214 (2023.01); G06F 18/2433 (2023.01); G06N 5/01 (2023.01); H04L 63/1425 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
generating, by a processor, an input feature space by collecting data from a plurality of computer sources, the input feature space including data associated with a computing system;
computing, by the processor, a likelihood of one or more data-security breach incidents based on the input feature space using a first computer model;
recognizing, by the processor, one or more events based on the input feature space using a second computer model;
determining, by the processor, a severity of at least one of the one or more data-security breach incidents and the one or more events using a third computer model;
generating, by the processor, one or more risk factor scores based on the determined severity of the at least one of the one or more data-security breach incidents and the one or more events, each of the one or more risk factor scores indicating a computer security risk of a certain computer security aspect of the computing system;
training, by the processor, weights for each of the one or more risk factor scores using a regression model and applying those weights to the one or more risk factor scores;
performing, by the processor, an action based on the one or more risk factor scores;
calculating, by the processor, an aggregate risk factor score based on a weighted mean of the one or more risk factor scores and external data, the external data including industry data for an industry in which the computing system is involved; and
providing, by the processor, the aggregate risk factor score for display.