US 11,855,768 B2
Disaster scenario based inferential analysis using feedback for extracting and combining cyber risk information
George Y. Ng, San Mateo, CA (US); Frank Beier, San Carlos, CA (US); Olivier Giulieri, San Mateo, CA (US); Yoshifumi Yamamoto, Palo Alto, CA (US); and Zheng Cheung, Fremont, CA (US)
Assigned to Guidewire Software, Inc., San Mateo, CA (US)
Filed by Guidewire Software, Inc., San Mateo, CA (US)
Filed on Sep. 2, 2021, as Appl. No. 17/465,739.
Application 17/465,739 is a continuation of application No. 16/582,977, filed on Sep. 25, 2019, granted, now 11,146,585.
Application 16/582,977 is a continuation of application No. 15/972,027, filed on May 4, 2018, granted, now 10,498,759, issued on Dec. 3, 2019.
Application 15/972,027 is a continuation of application No. 15/374,212, filed on Dec. 9, 2016, granted, now 10,050,990, issued on Aug. 14, 2018.
Application 15/374,212 is a continuation in part of application No. 15/141,779, filed on Apr. 28, 2016, granted, now 9,521,160, issued on Dec. 13, 2016.
Application 15/141,779 is a continuation in part of application No. PCT/US2015/067968, filed on Dec. 29, 2015.
Application PCT/US2015/067968 is a continuation in part of application No. 14/931,510, filed on Nov. 3, 2015, granted, now 9,373,144, issued on Jun. 21, 2016.
Application PCT/US2015/067968 is a continuation of application No. 14/614,897, filed on Feb. 5, 2015, abandoned.
Application 14/931,510 is a continuation in part of application No. 14/585,051, filed on Dec. 29, 2014, granted, now 9,253,203, issued on Feb. 2, 2016.
Claims priority of provisional application 62/098,238, filed on Dec. 30, 2014.
Prior Publication US 2021/0400078 A1, Dec. 23, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 29/06 (2006.01); H04L 9/40 (2022.01); G06Q 40/06 (2012.01); H04L 69/40 (2022.01)
CPC H04L 63/1433 (2013.01) [G06Q 40/06 (2013.01); H04L 63/20 (2013.01); H04L 69/40 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A method, comprising:
assessing a risk of cyber security failure of an entity, using a computer agent configured to collect information from at least publicly accessible Internet elements, wherein the assessing of the risk of cyber security failure comprises:
generating, at least in part by utilizing machine learning, a disaster scenario that comprises elements of a disaster event;
modeling the disaster scenario against a profile of the entity; and
determining a cyber security impact of the disaster scenario on the entity based at least in part on the modeling of the disaster scenario;
automatically recommending, based at least in part on the assessing, at least one computer network change to reduce the assessed risk of cyber security failure;
determining that the entity has enacted at least a portion of the automatically recommended computer network change; and
reassessing the risk of the cyber security failure in the computer network of the entity based on the enacted recommended computer network change.