Automated cyber-security attack method prediction using detected vulnerabilities

US12335296B2 · kind B2 · utility

Assignee

• ACCENTURE GLOBAL SOLUTIONS LIMITED · IE

Inventors

• Hodaya Binyamini · Beer Sheva, IL
• Louis William DiValentin · Fairfax, US
• Gal Engelberg · Pardes Hana-Karkur, IL
• Dan Klein · Neve Yaraq, IL
• Moshe Hadad · Neve Yaraq, IL
• Petra Genc · Tel Aviv-Yafo, IL
• Roei Levi · Maoz Ziyyon, IL

Key dates

• Filing date: Jun 15, 2023
• Grant date: Jun 17, 2025
• Expiry date: Jan 24, 2044

Classification

• Technology area (CPC H): Electricity
• CPC primary: H04L41/22
• WIPO field: Digital communication
• WIPO sector: Electrical engineering

Abstract

Implementations include a computer-implemented method for reducing cyber-security risk, comprising: accessing a knowledge mesh including a plurality of modules, wherein each module is associated with a respective aspect and maintains a knowledge graph specific to the respective aspect, wherein each knowledge graph is generated using data from one or more cyber-security repositories and includes nodes and connections between the nodes; performing an information completion process to generate connections between nodes of knowledge graphs maintained by different modules of the knowledge mesh, including performing at least one of: inheritance-based inference; natural language processing classifier-based inference; or natural language processing-based object matching inference; and identifying, using the generated connections between the nodes of the knowledge graphs, one or more actions to reduce cyber-security risk.