Invention Grant
- Patent Title: Inferential analysis using feedback for extracting and combining cyber risk information
-
Application No.: US15371047Application Date: 2016-12-06
-
Publication No.: US10230764B2Publication Date: 2019-03-12
- Inventor: George Y. Ng , Brian Wu , Ming Yang , Paul Yang , Fernando Tancioco, Jr.
- Applicant: Guidewire Software, Inc.
- Applicant Address: US CA Foster City
- Assignee: Guidewire Software, Inc.
- Current Assignee: Guidewire Software, Inc.
- Current Assignee Address: US CA Foster City
- Agency: Van Pelt, Yi & James LLP
- Main IPC: H04L29/06
- IPC: H04L29/06 ; G06N99/00 ; G06Q30/00 ; G06Q40/06

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.
Public/Granted literature
- US20170085595A1 Inferential Analysis Using Feedback for Extracting and Combining Cyber Risk Information Public/Granted day:2017-03-23
Information query