Zero Trust Security: A Comprehensive Comparative Analysis of Zero Trust Maturity Models

According to a recent article by The Business Research Company, the Zero Trust security market is projected to grow from ∃39.26 billion in 2024 to ∃80.58 billion by 2028 [1]. Zero Trust is a security framework based on the principle that trust should never be implicitly granted, requiring ongoing authorization and authentication for all network traffic, devices, and users. Maturity models provide a structured approach for assessing the security levels of systems or organizations, offering a clear path for continuous improvement by breaking down complex cybersecurity domains into measurable stages. However, their effective implementation in the context of Zero Trust remains underexplored, as this model requires a more dynamic, granular approach to security that challenges traditional assessment frameworks and demands a deeper integration of identity management, access controls, real-time monitoring, and adaptive policy enforcement. This paper first reviews the evolution of Zero Trust definitions and maturity models to establish a common understanding of the scope. It then investigates existing Zero Trust maturity models, evaluating their maturity levels, implementation complexity, scalability, security effectiveness, and adaptability. Through a comparative analysis, the study aims to offer insights into how these models can support the implementation and maturation of Zero Trust strategies in organizations.

Authors

Institutions

Publication Details

Published
2025-04-13
DOI
https://doi.org/10.1109/itikd63574.2025.11005097
Primary Topic
Access Control and Trust
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Zero Trust Security: A Comprehensive Comparative Analysis of Zero Trust Maturity Models

Alauddin Al-Omary, Shaikha Alnoaimi
Access Control and Trust
article

Zero Trust Security: A Comprehensive Comparative Analysis of Zero Trust Maturity Models

Alauddin Al-Omary, Shaikha Alnoaimi
article en

Abstract

According to a recent article by The Business Research Company, the Zero Trust security market is projected to grow from ∃39.26 billion in 2024 to ∃80.58 billion by 2028 [1]. Zero Trust is a security framework based on the principle that trust should never be implicitly granted, requiring ongoing authorization and authentication for all network traffic, devices, and users. Maturity models provide a structured approach for assessing the security levels of systems or organizations, offering a clear path for continuous improvement by breaking down complex cybersecurity domains into measurable stages. However, their effective implementation in the context of Zero Trust remains underexplored, as this model requires a more dynamic, granular approach to security that challenges traditional assessment frameworks and demands a deeper integration of identity management, access controls, real-time monitoring, and adaptive policy enforcement. This paper first reviews the evolution of Zero Trust definitions and maturity models to establish a common understanding of the scope. It then investigates existing Zero Trust maturity models, evaluating their maturity levels, implementation complexity, scalability, security effectiveness, and adaptability. Through a comparative analysis, the study aims to offer insights into how these models can support the implementation and maturation of Zero Trust strategies in organizations.

University of Bahrain (BH)
Openalex Percentile: Top 85%
Access Control and Trust
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.