Invention Grant
- Patent Title: Automated cyber-security attack method prediction using detected vulnerabilities
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Application No.: US18335686Application Date: 2023-06-15
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Publication No.: US12335296B2Publication Date: 2025-06-17
- Inventor: Hodaya Binyamini , Louis William DiValentin , Gal Engelberg , Dan Klein , Moshe Hadad , Petra Genc , Roei Levi
- Applicant: Accenture Global Solutions Limited
- Applicant Address: IE Dublin
- Assignee: Accenture Global Solutions Limited
- Current Assignee: Accenture Global Solutions Limited
- Current Assignee Address: IE Dublin
- Agency: POLSINELLI PC
- Main IPC: H04L41/16
- IPC: H04L41/16 ; G06N5/04 ; H04L9/40 ; H04L41/02

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.
Public/Granted literature
- US20230412635A1 AUTOMATED CYBER-SECURITY ATTACK METHOD PREDICTION USING DETECTED VULNERABILITIES Public/Granted day:2023-12-21
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