Emerging Technologies Driving Zero Trust Maturity Across Industries

This study explores the profound impact of emerging technologies on the Zero Trust paradigm and the challenges they present in the evolving cybersecurity landscape. As organizations grapple with increasingly complex threats, the integration of innovative technologies with Zero Trust principles offer...

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Main Author: Hrishikesh Joshi
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of the Computer Society
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10764723/
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author Hrishikesh Joshi
author_facet Hrishikesh Joshi
author_sort Hrishikesh Joshi
collection DOAJ
description This study explores the profound impact of emerging technologies on the Zero Trust paradigm and the challenges they present in the evolving cybersecurity landscape. As organizations grapple with increasingly complex threats, the integration of innovative technologies with Zero Trust principles offers both promising solutions and new challenges. The research investigates how artificial intelligence, machine learning, blockchain, quantum computing, and cloud/edge technologies are reshaping the implementation and efficacy of Zero Trust architectures. These technologies enable more sophisticated trust evaluation algorithms, enhanced threat intelligence, and dynamic access control mechanisms, thereby extending the boundaries of traditional Zero Trust models. The rapid pace of innovation introduces complexities in maintaining continuous verification and least-privilege access across hybrid and multi-cloud environments. Furthermore, the integration of AI and machine learning in Zero Trust frameworks raises questions about data privacy, algorithmic bias, and the need for explainable security decisions. The article proposes a methodology for addressing these challenges, emphasizing the need for adaptive Zero Trust strategies that can evolve alongside technological advancements. Through examination of real-world case studies and empirical research, this study provides insights into the practical implications of emerging technologies on Zero Trust implementation. It offers guidance for enterprises on harnessing these technologies to create more resilient, responsive, and effective cybersecurity measures. This research aims to equip organizations with the knowledge and strategies necessary to embrace emerging technologies within a Zero Trust framework, enabling them to navigate the complex interplay between innovation and security in the digital age.
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spelling doaj-art-e2ea556833d047f982ca9163f21123372025-01-11T00:02:00ZengIEEEIEEE Open Journal of the Computer Society2644-12682025-01-016253610.1109/OJCS.2024.350505610764723Emerging Technologies Driving Zero Trust Maturity Across IndustriesHrishikesh Joshi0https://orcid.org/0009-0005-6077-5929Enterprise Architect, Okta Inc., CA, USAThis study explores the profound impact of emerging technologies on the Zero Trust paradigm and the challenges they present in the evolving cybersecurity landscape. As organizations grapple with increasingly complex threats, the integration of innovative technologies with Zero Trust principles offers both promising solutions and new challenges. The research investigates how artificial intelligence, machine learning, blockchain, quantum computing, and cloud/edge technologies are reshaping the implementation and efficacy of Zero Trust architectures. These technologies enable more sophisticated trust evaluation algorithms, enhanced threat intelligence, and dynamic access control mechanisms, thereby extending the boundaries of traditional Zero Trust models. The rapid pace of innovation introduces complexities in maintaining continuous verification and least-privilege access across hybrid and multi-cloud environments. Furthermore, the integration of AI and machine learning in Zero Trust frameworks raises questions about data privacy, algorithmic bias, and the need for explainable security decisions. The article proposes a methodology for addressing these challenges, emphasizing the need for adaptive Zero Trust strategies that can evolve alongside technological advancements. Through examination of real-world case studies and empirical research, this study provides insights into the practical implications of emerging technologies on Zero Trust implementation. It offers guidance for enterprises on harnessing these technologies to create more resilient, responsive, and effective cybersecurity measures. This research aims to equip organizations with the knowledge and strategies necessary to embrace emerging technologies within a Zero Trust framework, enabling them to navigate the complex interplay between innovation and security in the digital age.https://ieeexplore.ieee.org/document/10764723/Artificial intelligencecybersecurityenterprise architectureidentity & access management (IAM)security architecturezero trust
spellingShingle Hrishikesh Joshi
Emerging Technologies Driving Zero Trust Maturity Across Industries
IEEE Open Journal of the Computer Society
Artificial intelligence
cybersecurity
enterprise architecture
identity & access management (IAM)
security architecture
zero trust
title Emerging Technologies Driving Zero Trust Maturity Across Industries
title_full Emerging Technologies Driving Zero Trust Maturity Across Industries
title_fullStr Emerging Technologies Driving Zero Trust Maturity Across Industries
title_full_unstemmed Emerging Technologies Driving Zero Trust Maturity Across Industries
title_short Emerging Technologies Driving Zero Trust Maturity Across Industries
title_sort emerging technologies driving zero trust maturity across industries
topic Artificial intelligence
cybersecurity
enterprise architecture
identity & access management (IAM)
security architecture
zero trust
url https://ieeexplore.ieee.org/document/10764723/
work_keys_str_mv AT hrishikeshjoshi emergingtechnologiesdrivingzerotrustmaturityacrossindustries