Invention Grant
- Patent Title: Synthetic cyber-risk model for vulnerability determination
-
Application No.: US15400870Application Date: 2017-01-06
-
Publication No.: US10044746B2Publication Date: 2018-08-07
- Inventor: David Vallone , Peter Taylor , Phil J. Venables , Ruoh-Yann Huang
- Applicant: Goldman, Sachs & Co.
- Applicant Address: US NY New York
- Assignee: Goldman Sachs & Co. LLC
- Current Assignee: Goldman Sachs & Co. LLC
- Current Assignee Address: US NY New York
- Main IPC: H01L29/06
- IPC: H01L29/06 ; H04L12/24 ; H04L29/06

Abstract:
A system, method, and device are presented for assessing a target network's vulnerability to a real cyberthreat based on determining policy-based synthetic tests configured to model the behavior of the cyberthreat. Real-time feedback from the target network (e.g., servers, desktops, and network/monitoring hardware and/or software equipment) are received, analyzed, and used to determine whether any modifications to the same or a new synthesized test is preferred. The technology includes self-healing processes that, using the feedback mechanisms, can attempt to find patches for known vulnerabilities, test for unknown vulnerabilities, and configure the target network's resources in accordance with predefined service-level agreements.
Public/Granted literature
- US20170126731A1 SYNTHETIC CYBER-RISK MODEL FOR VULNERABILITY DETERMINATION Public/Granted day:2017-05-04
Information query
IPC分类: