Disaster scenario based inferential analysis using feedback for extracting and combining cyber risk information

Patent metadata

Field	Value
Publication number	US-11855768-B2
Application number	US-202117465739-A
Country	US
Kind code	B2
Filing date	Sep 2, 2021
Priority date	Dec 29, 2014
Publication date	Dec 26, 2023
Grant date	Dec 26, 2023

Abstract

Assessing risk of a cyber security failure in a computer network of an entity includes: assessing risk of an entity, using a computer agent configured to collect information from at least publicly accessible Internet elements, and automatically recommending, based at least in part on the assessed risk, changes to reduce the assessed risk to mitigate the theoretical damage. The assessed risk comprises a cyber security failure risk in a computer network of the entity; and the assessing of risk comprises: generating a disaster scenario that comprises elements of a disaster event; modeling the disaster scenario against a profile of the entity; and determining theoretical damage based at least in part on the modeling.

First claim

What is claimed is:

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.

2. The method of claim 1 , wherein the at least one network change comprises one or more of: an update to a cyber security policy, a setting to the cyber security policy, a network change, and/or a network setting.

3. The method of claim 1 , further comprising:
dynamically re-determining, based at least in part on the reassessed risk, an update, a setting, or both to a cyber security policy.

4. The method of claim 3 , wherein outcome data of the modeling is incorporated into the reassessed the risk of the entity.

5. The method of claim 2 , further comprising generating recommended suggestions for the computer network relative to the disaster scenario and based at least in part on the collected information obtained for the computer network and the entity.

6. The method of claim 1 , further comprising generating optimized or improved disaster scenarios based at least in part on outcomes of disaster scenario modeling of a plurality of computer networks.

7. The method of claim 2 , wherein the cyber security failure comprises a cyber attack, a privacy incident involving sensitive information, or both.

8. The method of claim 2 , wherein the cyber security policy includes:
a cyber security policy from another entity;
a product warranty for first and/or third party costs that the entity purchases from at least one of a networking, security product, and services provider; or
both.

9. The method of claim 1 , wherein the computer agent is further configured to perform: collecting information from a computer network of the entity, analyzing information from the computer network of the entity, or both.

10. A system, comprising:
a memory; and
one or more hardware processors coupled to the memory and configured to:
assess risk of an entity, using a computer agent configured to collect information from at least publicly accessible Internet elements, wherein:
the assessed risk comprises a cyber security failure risk in a computer network of the entity; and
to assess the risk comprises to:
generate, at least in part by utilizing machine learning, a disaster scenario that comprises elements of a disaster event;
model the disaster scenario against a profile of the entity; and
determine a cyber security impact of the disaster scenario on the entity based at least in part on the modeling of the disaster scenario;

automatically recommend, based at least in part on the assessing, at least one computer network change to reduce the assessed risk of cyber security failure;
determine that the entity has enacted at least a portion of the automatically recommended computer network change; and
reassess the risk of the cyber security failure in the computer network of the entity based on the enacted recommended computer network change.

11. The system of claim 10 , wherein the at least one network change comprises one or more of: an update to a cyber security policy, a setting to the cyber security policy, a network change, and/or a network setting.

12. The system of claim 10 , wherein the one or more hardware processors are further configured to:
dynamically re-determine, based at least in part on the reassessed risk, an update, a setting, or both to a cyber security policy.

13. The system of claim 12 , wherein outcome data of the modeling is incorporated into the reassessed the risk of the entity.

14. The system of claim 11 , wherein the one or more hardware processors are further configured to generate recommended suggestions for the computer network relative to the disaster scenario and based at least in part on the collected information obtained for the computer network and the entity.

15. The system of claim 10 , wherein the one or more hardware processors are further configured to generate optimized or improved disaster scenarios based at least in part on outcomes of disaster scenario modeling of a plurality of computer networks.

16. The system of claim 11 , wherein the cyber security failure comprises a cyber attack, a privacy incident involving sensitive information, or both.

17. The system of claim 11 , wherein the cyber security policy includes:
a cyber security policy from another entity;
a product warranty for first and/or third party costs that the entity purchases from at least one of a networking, security product, and services provider; or
both.

18. The system of claim 10 , wherein the computer agent is further configured to perform: collecting information from a computer network of the entity, analyzing information from the computer network of the entity, or both.

19. A computer program product embodied in a tangible non-transitory computer readable storage medium and comprising computer instructions for:
assessing risk of an entity, using a computer agent configured to collect information from at least publicly accessible Internet elements, wherein:
the assessed risk comprises a cyber security failure risk in a computer network of the entity; and
the assessing of risk 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.

Assignees

• Guidewire Software Inc

Inventors

• Ng George Y
• Beier Frank
• Giulieri Olivier
• Yamamoto Yoshifumi
• Cheung Zheng

Classifications

• H04L63/1433 Primary

  Vulnerability analysis · CPC title

• G06Q40/06

  Asset management; Financial planning or analysis · CPC title

• H04L63/20

  for managing network security; network security policies in general (filtering policies H04L63/0227) · CPC title

• H04L69/40

  for recovering from a failure of a protocol instance or entity, e.g. service redundancy protocols, protocol state redundancy or protocol service redirection (management of faults, events, alarms or notifications in data switching networks H04L41/06) · CPC title

• G06Q40/08

  Insurance · CPC title