Securing the Human Element in AI-Powered Cyber Defences: A Zero Trust Perspective

Organizations use artificial intelligence more extensively for cybersecurity protection but gain digital security improvements through AI while human security vulnerabilities draw cyber enemy attacks. Zero Trust Architecture (ZTA) serves as the basis for this paper to examine the significant role human beings play in maintaining AI cybersecurity protection. Security measures must emphasize human-focused approaches due to the need to defend against terrorists and auditors, human behavioural irregularities, and social engineering tactics since artificial intelligence cannot entirely control these attacks. The security capabilities of Zero Trust principles reduce human-caused security threats through their combination of verification methods, access control protocols, and privilege access controls. Based on previous studies on cybersecurity awareness, insider threat monitoring, and artificial intelligence threat assessment research, the study created a complete framework that connects ZTA principles with human behavioural information. The authors performed systematic research on published articles and deployed technical systems that identified adaptation barriers that users face in participation alongside difficulties in policy enforcement effectiveness. The paper outlines strategic recommendations to integrate AI systems with Zero Trust principles to increase organizational cybersecurity against threats stemming from human behaviour.

Authors

Publication Details

Published
2025-05-02
DOI
https://doi.org/10.38124/ijisrt/25apr1819
Citations
2
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
4.96
Controls
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article

Securing the Human Element in AI-Powered Cyber Defences: A Zero Trust Perspective

Eniola Akinola Odedina
2 citations
Adversarial Robustness in Machine Learning
4.96
article

Securing the Human Element in AI-Powered Cyber Defences: A Zero Trust Perspective

Eniola Akinola Odedina
article en
2 citations

Abstract

Organizations use artificial intelligence more extensively for cybersecurity protection but gain digital security improvements through AI while human security vulnerabilities draw cyber enemy attacks. Zero Trust Architecture (ZTA) serves as the basis for this paper to examine the significant role human beings play in maintaining AI cybersecurity protection. Security measures must emphasize human-focused approaches due to the need to defend against terrorists and auditors, human behavioural irregularities, and social engineering tactics since artificial intelligence cannot entirely control these attacks. The security capabilities of Zero Trust principles reduce human-caused security threats through their combination of verification methods, access control protocols, and privilege access controls. Based on previous studies on cybersecurity awareness, insider threat monitoring, and artificial intelligence threat assessment research, the study created a complete framework that connects ZTA principles with human behavioural information. The authors performed systematic research on published articles and deployed technical systems that identified adaptation barriers that users face in participation alongside difficulties in policy enforcement effectiveness. The paper outlines strategic recommendations to integrate AI systems with Zero Trust principles to increase organizational cybersecurity against threats stemming from human behaviour.

Openalex Percentile: Top 5%
Adversarial Robustness in Machine Learning
4.96
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Securing the Human Element in AI-Powered Cyber Defences: A Zero Trust Perspective — Eniola Akinola Odedina · (2025) | TGRS Research Map | TGRS