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Implementing Zero Trust Security Models: Challenges, Best Practices, and Future Directions in Enterprise Networks
Subject area: Science,Engineering and Technology · Area of research: ICT
Abstract
Digital infrastructure protection in enterprises relies on the fundamental change brought by Zero Trust security. The core premise of Zero Trust security contrasts with perimeter security models because it operates under the principle that trust should be earned continuously, while verification remains constant. The model requires persistent authentication in addition to sustained access control methods to actively protect against inside and outside threats. This paper evaluates Zero Trust strategy in contemporary enterprise networks through analysis of its critical elements such as Identity and Access Management (IAM) and micro-segmentation and continuous monitoring and discusses implementation challenges and best practices. The paper explores Zero Trust's evolving future including AI/ML technology integration as well as secure identity management with blockchain methods and the advancement of Secure Access Service Edge. The article delivers significant organizational knowledge that helps businesses develop robust cybersecurity measures through Zero Trust adoption within today's interconnected environment.
Keywords
Zero Trust, enterprise security, cybersecurity, micro-segmentation, identity verification, least privilege access, continuous monitoring, policy enforcement, SASE, AI/ML, blockchain, access control, threat detection.
References
[1] Akinbolajo, O. (2024). The role of technology in optimizing supply chain efficiency in the American manufacturing sector. International Journal of Humanities Social Science and Management (IJHSSM), 4(2), 530–539. http://www.ijhssm.org
[2] Bennett, R., & Brown, T. (2020). Managing security policies in zero trust environments. Cybersecurity and Information Systems Journal, 22(1), 112-124.
[3] Brown, S., et al. (2021). Leveraging artificial intelligence for real-time decision-making in zero trust environments. Journal of Cybersecurity and Artificial Intelligence, 14(2), 78-89.
[4] CrowdStrike. (2022). Adaptive security and machine learning in zero trust security. CrowdStrike Research Journal.
[5] Foster, D. (2020). Microsoft’s zero trust model: Securing the cloud and SaaS. Cloud Security Journal, 14(1), 22-31.
[6] Google Security Blog. (2014). BeyondCorp: A new approach to enterprise security. Retrieved from https://security.googleblog.com
[7] Harrison, J. (2021). Implementing zero trust for financial institutions: Bank of America’s approach. Journal of Financial Cybersecurity, 9(4), 76-85.
[8] Jain, S., & Singh, R. (2021). Overcoming organizational resistance to zero trust implementation. Journal of Organizational Security, 6(4), 34-45.
[9] Lee, D., et al. (2020). Automated security policy enforcement in zero trust architectures. International Journal of Cybersecurity Engineering, 8(2), 57-68.
[10] McCluskey, T. (2020). Implementing zero trust with SASE: A comprehensive security framework for the cloud era. International Journal of Network Security, 25(1), 74-85.
[11] Morris, A., & Taylor, F. (2020). Integrating zero trust with legacy systems: Challenges and strategies. International Journal of Cybersecurity, 15(3), 90-102.
[12] Narayan, S., & Shah, P. (2021). Blockchain-based secure identity management in zero trust architectures. International Journal of Information Security, 29(4), 135-146.
[13] National Institute of Standards and Technology (NIST). (2023). Zero trust architecture: NIST SP 800-207.
[14] Perez, G., et al. (2021). Blockchain and zero trust: Strengthening identity and access management. Journal of Blockchain Technology, 16(2), 58-71.
[15] Schmidt, D., & Taylor, P. (2020). Securing networks with zero trust: Cisco’s approach. Journal of Network and System Administration, 13(2), 45-58.
[16] Stojanovic, J., & Ivanovic, M. (2021). Cost implications of implementing zero trust security models. Journal of Information Security, 9(2), 111-122.
[17] Stern, R., & Cooper, M. (2020). Machine learning for predictive security in zero trust models. IEEE Transactions on Security and Privacy, 18(3), 50-63.
[18] U.S. Department of Defense (DoD). (2020). Zero trust architecture: Enhancing national security through continuous authentication. DoD Cybersecurity Review, 6(2), 49-58.
[19] Xu, Z., et al. (2021). Cloud security and SASE: Integrating zero trust for modern workforces. Journal of Cloud Computing, 9(3), 61-72.
[20] Zhao, L., & Lee, M. (2021). SASE and zero trust: Next-generation security for distributed environments. Journal of Cloud Security and Networking, 13(4), 121-134.
How to cite this paper
@article{1707806,
author = {Clifford Godwin Amomo},
title = {Implementing Zero Trust Security Models: Challenges, Best Practices, and Future Directions in Enterprise Networks},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {8},
number = {10},
pages = {244-261},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1707806.pdf},
abstract = {Digital infrastructure protection in enterprises relies on the fundamental change brought by Zero Trust security. The core premise of Zero Trust security contrasts with perimeter security models because it operates under the principle that trust should be earned continuously, while verification remains constant. The model requires persistent authentication in addition to sustained access control methods to actively protect against inside and outside threats. This paper evaluates Zero Trust strategy in contemporary enterprise networks through analysis of its critical elements such as Identity and Access Management (IAM) and micro-segmentation and continuous monitoring and discusses implementation challenges and best practices. The paper explores Zero Trust's evolving future including AI/ML technology integration as well as secure identity management with blockchain methods and the advancement of Secure Access Service Edge. The article delivers significant organizational knowledge that helps businesses develop robust cybersecurity measures through Zero Trust adoption within today's interconnected environment.},
keywords = {Zero Trust, enterprise security, cybersecurity, micro-segmentation, identity verification, least privilege access, continuous monitoring, policy enforcement, SASE, AI/ML, blockchain, access control, threat detection.},
month = {April},
}