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...
Saved in:
Main Author: | |
---|---|
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/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1841546169100009472 |
---|---|
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. |
format | Article |
id | doaj-art-e2ea556833d047f982ca9163f2112337 |
institution | Kabale University |
issn | 2644-1268 |
language | English |
publishDate | 2025-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Open Journal of the Computer Society |
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 |