Enhancing Zero Trust Cybersecurity with AI

Zero Trust Architecture has become the prime asset of any organizations since the data breach and hacking has become normal these days. This paper studies and recommend the solutions for zero trust using Microsoft Copilot and AI driven assistant to improve the existing Identity and access control management and overall security operations. This also deep dive into zero trust mechanism and how it can be more effective for organizations and their own policies [10]. This article investigates how Copilot might help security experts with access control, automate security processes, and provide real-time insight. Examining Copilot's capabilities in line with the Zero Trust basic concept, "Never Trust, Always Verify," this paper Notwithstanding historical challenges to its general acceptability, we wish to demonstrate how artificial intelligence might simplify Zero Trust techniques of application [19].Important areas of research include how Copilot interacts with the current security features in Microsoft 365, how it can be used to improve explicit verification processes, how AI can be used to implement least privileged access, and how Copilot might help discover threats and react to them in the "assume breach" paradigm [10]. This study aims to provide firms with ideas on how to enhance their safety using AI-powered solutions such as Microsoft Copilot by analyzing real-life cases. Within Zero Trust, it zeroes attention on the User Pillar as well as the Automation and Orchestration Pillar. Microsoft's declared end goal (2023) is to use artificial intelligence to help security professionals in their quest of a strong Zero Trust Architecture. They will thus be ready to manage cyberthreats as they develop in an environment driven more by artificial intelligence [18].

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Institutions

Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-04-05
DOI
https://doi.org/10.52783/jisem.v10i32s.5191
Citations
1
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
1.49
Controls
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article

Enhancing Zero Trust Cybersecurity with AI

M. S. Raña
1 citations
Journal of Information Systems Engineering & Management
Network Security and Intrusion Detection
1.49
article

Enhancing Zero Trust Cybersecurity with AI

M. S. Raña
article en
1 citations

Abstract

Zero Trust Architecture has become the prime asset of any organizations since the data breach and hacking has become normal these days. This paper studies and recommend the solutions for zero trust using Microsoft Copilot and AI driven assistant to improve the existing Identity and access control management and overall security operations. This also deep dive into zero trust mechanism and how it can be more effective for organizations and their own policies [10]. This article investigates how Copilot might help security experts with access control, automate security processes, and provide real-time insight. Examining Copilot's capabilities in line with the Zero Trust basic concept, "Never Trust, Always Verify," this paper Notwithstanding historical challenges to its general acceptability, we wish to demonstrate how artificial intelligence might simplify Zero Trust techniques of application [19].Important areas of research include how Copilot interacts with the current security features in Microsoft 365, how it can be used to improve explicit verification processes, how AI can be used to implement least privileged access, and how Copilot might help discover threats and react to them in the "assume breach" paradigm [10]. This study aims to provide firms with ideas on how to enhance their safety using AI-powered solutions such as Microsoft Copilot by analyzing real-life cases. Within Zero Trust, it zeroes attention on the User Pillar as well as the Automation and Orchestration Pillar. Microsoft's declared end goal (2023) is to use artificial intelligence to help security professionals in their quest of a strong Zero Trust Architecture. They will thus be ready to manage cyberthreats as they develop in an environment driven more by artificial intelligence [18].

Journal of Information Systems Engineering & ManagementVol. 10(32s)
University of the Cumberlands (US)
Openalex Percentile: Top 19%
Network Security and Intrusion Detection
1.49
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