Invention Grant
- Patent Title: Synthetic cyber-risk model for vulnerability determination
- Patent Title (中): 用于脆弱性确定的综合网络风险模型
-
Application No.: US14538193Application Date: 2014-11-11
-
Publication No.: US09571517B2Publication Date: 2017-02-14
- 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.
- Current Assignee: Goldman, Sachs & Co.
- Current Assignee Address: US NY New York
- Main IPC: G06F11/00
- IPC: G06F11/00 ; H04L29/06 ; H04L12/24

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
- US20160134653A1 Synthetic Cyber-Risk Model For Vulnerability Determination Public/Granted day:2016-05-12
Information query