Inferential analysis using feedback for extracting and combining cyber risk information

• US 10,511,635 B2
• Filed: 05/04/2018
• Issued: 12/17/2019
• Est. Priority Date: 12/29/2014
• Status: Active Grant

• Current Assignee: Guidewire Software Incorporated
• Original Assignee: Guidewire Software Incorporated
• Inventors: Ng, George Y., Wu, Brian, Yang, Ming, Yang, Paul, Tancioco, Jr., Fernando
• Primary Examiner(s): Rahman, Mahfuzur
• Application Number:
  US15/971,946
• Publication Number:
  US 20180359281A1
• Time in Patent Office: 592 Days
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06Q 30/012 Providing warranty services
• CPC Class Codes: G06Q 40/06 Asset management; Financial planning or analysis
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: H04L 63/1433 Vulnerability analysis
• CPC Class Codes: H04L 63/20 for managing network security; network security policies in general filtering policies H04L63/0227

Abstract

Various embodiments of the present technology include methods of assessing risk of a cyber security failure in a computer network of an entity. Some embodiments involve using continual or periodic data collecting to improve inferential analysis, as well as obtaining circumstantial or inferential information from social networks. Machine learning may be used to improve predicitive capabilities. Some embodiments allow for identification of an entity from circumstantial or inferential information based on the machine learning and comparative analyses.

Claims

1. A method, comprising:

assessing risk of a cyber security failure in a computer network of an entity, using a computer agent configured to collect information from at least one accessible Internet elements, wherein the collection of information occurs periodically or continually over time, wherein the assessing of risk comprises;

determining circumstantial or indirect information that is indicative of the entity based at least in part on the collected information;

confirming or inferring that the entity is referenced in the circumstantial or indirect information that is indicative of the entity being referenced in the circumstantial or indirect information; and

increasing or decreasing the assessed risk if the circumstantial or indirect information indicative of the entity is respectively negative or positive;

automatically determining, based at least in part on the assessed risk, a change or a setting to at least one element of policy criteria of a cyber security policy;

automatically recommending, based at least in part on the assessed risk, computer network changes to reduce the assessed risk;

periodically re-assessing the risk of a cyber security failure in the computer network of the entity, wherein the periodical re-assessing of the risk results in;

an update to the change or setting to the at least one element of policy criteria of the cyber security policy, an update to the computer network changes, or both; and

predicting an action of the entity based at least in part on the periodic re-assessing.

2. The method of claim 1, wherein the predicting is based at least in part on machine learning.

3. The method of claim 1, wherein the cyber security failure comprises a privacy incident involving sensitive information.

4. The method of claim 1, wherein the computer agent is further configured to perform:

collecting information from the computer network of the entity, analyzing information from the computer network of the entity, or both.

6. The method of claim 1, further comprising:

determining that the entity has enacted at least a portion of the recommended computer network changes; and

initiating a change or a setting to the at least one element of policy criteria of the cyber security policy.

11. The method of claim 6, further comprising estimating at least one impact to the entity for the cyber security failure, the estimating being dynamically calculated based at least in part on the determining that the entity has enacted at least a portion of the recommended computer network changes.

12. The method of claim 1, wherein at least one of the one or more recommended computer network changes is implemented automatically without intervention of the entity.

13. The method of claim 1, 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. A method, comprising:

assessing risk of a cyber security failure in a computer network of an entity, using a computer agent configured to collect information from at least one accessible Internet elements, wherein the collection of information occurs periodically or continually over time, wherein the assessing of risk comprises;

determining circumstantial or indirect information that is indicative of the entity based at least in part on the collected information;

confirming or inferring that the entity is referenced in the circumstantial or indirect information that is indicative of the entity being referenced in the circumstantial or indirect information; and

increasing or decreasing the assessed risk if the circumstantial or indirect information indicative of the entity is respectively negative or positive;

automatically determining, based at least in part on the assessed risk, a change or a setting to at least one element of policy criteria of a cyber security policy; and

automatically recommending, based at least in part on the assessed risk, computer network changes to reduce the assessed risk;

based at least in part on the assessing of risk of the cyber security failure in the computer network of the entity, plotting one or more features of the entity and other members of a peer group of the entity, the plotting being configured to visually illustrate the risk of a cyber security failure in the computer network of the entity; and

the automatic recommending of computer network changes being based at least in part on the plotting.

7. A method, comprising:

assessing risk of a cyber security failure in a computer network of an entity, using a computer agent configured to collect information from at least one accessible Internet elements, wherein the collection of information occurs periodically or continually over time, wherein the assessing of risk comprises;

determining circumstantial or indirect information that is indicative of the entity based at least in part on the collected information;

confirming or inferring that the entity is referenced in the circumstantial or indirect information that is indicative of the entity being referenced in the circumstantial or indirect information;

increasing or decreasing the assessed risk if the circumstantial or indirect information indicative of the entity is respectively negative or positive;

assessing, using a plurality of sophistication elements for the entity, a sophistication for the entity with respect to preventing the cyber security failure, the sophistication being one of a plurality of features of the entity;

assessing, using a plurality of motivation elements regarding the entity, a motivation of an actor to initiate the cyber security failure, the motivation being another one of the plurality of features of the entity; and

calculating a composite score from a motivation score and a sophistication score, the motivation score representing the plurality of motivation elements, the sophistication score representing the plurality of sophistication elements;

automatically determining, based at least in part on the assessed risk, a change or a setting to at least one element of policy criteria of a cyber security policy; and

automatically recommending, based at least in part on the assessed risk, computer network changes to reduce the assessed risk.

9. The method of claim 7, further comprising:

creating an aggregate risk score of a portfolio of entities based at least in part on a plurality of motivation scores including the motivation score and a plurality of sophistication scores including the sophistication score; and

benchmarking over time at least one of the sophistication score, the motivation score, the composite score, and the aggregate risk score.

10. The method of claim 9, further comprising:

determining a position of the entity relative to the aggregate risk score of the portfolio of entities, the portfolio of entities belonging to at least one of an industry group, a geographic location, a company size, a technology sector, or any combinations thereof, wherein the assessed risk of a cyber security failure in the computer network of the entity is a function of the aggregate risk score of the portfolio of entities;

comparing the assessed risk of a cyber security failure in the computer network of the entity to the aggregate risk score; and

automatically generating and recommending additional computer network changes to reduce the assessed risk of a cyber security failure in the computer network of the entity.

8. A method, comprising:

assessing risk of a cyber security failure in a computer network of an entity, using a computer agent configured to collect information from at least one accessible Internet elements, wherein the collection of information occurs periodically or continually over time, wherein the assessing of risk comprises;

determining circumstantial or indirect information that is indicative of the entity based at least in part on the collected information;

confirming or inferring that the entity is referenced in the circumstantial or indirect information that is indicative of the entity being referenced in the circumstantial or indirect information;

increasing or decreasing the assessed risk if the circumstantial or indirect information indicative of the entity is respectively negative or positive;

assessing, using a plurality of sophistication elements for the entity, a sophistication for the entity with respect to preventing the cyber security failure, the sophistication being one of a plurality of features of the entity; and

assessing, using a plurality of motivation elements regarding the entity, a motivation of an actor to initiate the cyber security failure, the motivation being another one of the plurality of features of the entity;

calculating a composite score based at least in part on the assessing of the risk;

calculating a motivation score from the composite score, the motivation score representing the plurality of motivation elements; and

calculating a sophistication score from the composite score, the sophistication score representing the plurality of sophistication elements.

14. A system, comprising:

one or more processors configured to;

assess risk of a cyber security failure in a computer network of an entity, using a computer agent configured to collect information from at least one accessible Internet elements, wherein the collection of information occurs periodically or continually over time, wherein the assessing of risk comprises;

determine circumstantial or indirect information that is indicative of the entity based at least in part on the collected information;

confirm or inferring that the entity is referenced in the circumstantial or indirect information that is indicative of the entity being referenced in the circumstantial or indirect information; and

increase or decreasing the assessed risk if the circumstantial or indirect information indicative of the entity is respectively negative or positive;

automatically determine, based at least in part on the assessed risk, a change or a setting to at least one element of policy criteria of a cyber security policy; and

automatically recommend, based at least in part on the assessed risk, computer network changes to reduce the assessed risk;

periodically re-assess the risk of a cyber security failure in the computer network of the entity, wherein the periodical re-assessing of the risk results in;

an update to the change or setting to the at least one element of policy criteria of the cyber security policy, an update to the computer network changes, or both; and

predict an action of the entity based at least in part on the periodic re-assessing and

one or more memories coupled to the one or more processors, configured to provide the one or more processors with instructions.

15. A computer program product embodied in a tangible, non-transitory computer readable storage medium and comprising computer instructions for:

assessing risk of a cyber security failure in a computer network of an entity, using a computer agent configured to collect information from at least one accessible Internet elements, wherein the collection of information occurs periodically or continually over time, wherein the assessing of risk comprises;

determining circumstantial or indirect information that is indicative of the entity based at least in part on the collected information;

confirming or inferring that the entity is referenced in the circumstantial or indirect information that is indicative of the entity being referenced in the circumstantial or indirect information; and

increasing or decreasing the assessed risk if the circumstantial or indirect information indicative of the entity is respectively negative or positive;

automatically determining, based at least in part on the assessed risk, a change or a setting to at least one element of policy criteria of a cyber security policy;

automatically recommending, based at least in part on the assessed risk, computer network changes to reduce the assessed risk;

periodically re-assessing the risk of a cyber security failure in the computer network of the entity, wherein the periodical re-assessing of the risk results in;

an update to the change or setting to the at least one element of policy criteria of the cyber security policy, an update to the computer network changes, or both; and

predicting an action of the entity based at least in part on the periodic re-assessing.