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

Patent metadata

Field	Value
Publication number	US-12519818-B2
Application number	US-202318506900-A
Country	US
Kind code	B2
Filing date	Nov 10, 2023
Priority date	Dec 29, 2014
Publication date	Jan 6, 2026
Grant date	Jan 6, 2026

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 a disaster scenario that comprises elements of a disaster event; and
determining a cyber security impact of the disaster scenario on the entity based at least in part on modeling damage caused by the disaster scenario; and
based at least in part on the assessing, providing output usable to reduce the assessed risk of cyber security failure, comprising:
providing the output based on a first disaster scenario or a second disaster scenario, wherein the first disaster scenario is different from the second disaster scenario, wherein the first disaster scenario is modeled based on a first disaster model, wherein the second disaster scenario is modeled based on a second disaster model, wherein the first disaster model is different from the second disaster model, wherein the first disaster model is implemented using a first machine learning technique, wherein the second disaster model is implemented using a second machine learning technique, and wherein providing the output comprises providing one or more changes including 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.

2 . The method of claim 1 , further comprising:
generating recommended suggestions for a 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, wherein the recommended suggestions comprise one or more changes to reduce the assessed risk of cyber security failure; and automatically recommending at least one change to reduce the assessed risk of cyber security failure.

3 . The method of claim 2 , further comprising:
determining that the entity has enacted at least a portion of the at least one automatically recommended change, and in response, automatically reassessing the risk of the entity; and 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 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.

5 . The method of claim 1 , further comprising re-determining the risk of cyber security failure of the entity at least in part by incorporating outcome data of the modeling.

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 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.

8 . A system, comprising:
one or more hardware processors configured to:
assess 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 a disaster scenario that comprises elements of a disaster event; and
determining a cyber security impact of the disaster scenario on the entity based at least in part on modeling damage caused by the disaster scenario; and

based at least in part on the assessing, provide output usable to reduce the assessed risk of cyber security failure, comprising:
providing the output based on a first disaster scenario or a second disaster scenario, wherein the first disaster scenario is different from the second disaster scenario, wherein the first disaster scenario is modeled based on a first disaster model, wherein the second disaster scenario is modeled based on a second disaster model, wherein the first disaster model is different from the second disaster model, wherein the first disaster model is implemented using a first machine learning technique, wherein the second disaster model is implemented using a second machine learning technique, and wherein providing the output comprises providing one or more changes including 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.

9 . The system recited in claim 8 , wherein the one or more hardware processors are further configured to:
generate recommended suggestions for a 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, wherein the recommended suggestions comprise one or more changes to reduce the assessed risk of cyber security failure; and automatically recommend at least one change to reduce the assessed risk of cyber security failure.

10 . The system recited in claim 9 , wherein the one or more hardware processors are further configured to:
determine that the entity has enacted at least a portion of the at least one automatically recommended change, and in response, automatically reassess the risk of the entity; and dynamically re-determine, based at least in part on the reassessed risk, an update, a setting, or both to a cyber security policy.

11 . The system recited in claim 10 , 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.

12 . The system recited in claim 10 , wherein the one or more hardware processors are further configured to re-determine the risk of cyber security failure of the entity at least in part by incorporating outcome data of the modeling.

13 . The system recited in claim 8 , 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.

14 . The system recited in claim 8 , 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.

15 . A computer program product embodied in a non-transitory computer readable storage medium and comprising computer instructions for:
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 a disaster scenario that comprises elements of a disaster event; and
determining a cyber security impact of the disaster scenario on the entity based at least in part on modeling damage caused by the disaster scenario; and
based at least in part on the assessing, provide output usable to reduce the assessed risk of cyber security failure, comprising:
providing the output based on a first disaster scenario or a second disaster scenario, wherein the first disaster scenario is different from the second disaster scenario, wherein the first disaster scenario is modeled based

Assignees

• Guidewire Software Inc

Inventors

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

Classifications

• 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

• G06Q40/06

  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

• G06Q40/08

  Insurance · CPC title

• H04L63/1433 Primary

  Vulnerability analysis · CPC title