US 11,888,886 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 Sep. 18, 2020, as Appl. No. 17/025,754.
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)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
generating, by a processor, an input feature space by collecting data from one or more computer sources, the input feature space including data associated with a computing system;
recognizing, by the processor, one or more events based on the input feature space;
determining, by the processor, a severity of the one or more events using one or more computer models;
generating, by the processor, one or more risk factor scores based on the determined severity of 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, generating the one or more risk factor scores including determining a category of the one or more events using the input feature space;
generating, by the processor, an aggregate risk factor score of the computing system based on the one or more risk factor scores, the aggregate risk factor score being a synthesis of a plurality of sub-factors, where each sub-factor is weighted and correlates to each of the one or more risk factor scores; and
performing, by the processor, an action based on the aggregated risk factor score.