Elevating Cybersecurity Strategies with the Insights of Explainable AI

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Authors: Hayder Makki Shakir, Doaa I Hasan, Mustafa Hamid Abd Alsadh, Amjed Abbas Ahmed, Hamsa Emad Mahmood, Nuha Jameel Ibrahim, Taher M. Ghazal
Cited by: 2
References: 38

Abstract

Technological innovations have shifted the nature of cyber threats from being simple to complex. One of the inventive methods in this direction is Explainable Artificial Intelligence (XAI) whose embedding in IT security systems is a hopeful way of proper recognition and reaction to the threats. This paper investigates the association of XAI with the field of cybersecurity, focusing on AI explainability, through which cybersecurity workers can be surer about the part of AI in their field. Besides the fact that XAI is making the decision processes of AI engines totally clear, security analysts do not have to deal with "black box" systems in which the team is told and they use the data in a practical way, thus, security teams are able to apply the right decisions through the actual insights that they get.

Fields of Study & Subjects

Explainable Artificial Intelligence (XAI) Adversarial Robustness in Machine Learning Ethics and Social Impacts of AI

Publication details

Journal / source
Procedia Computer Science
Publisher
Elsevier BV
Volume
275
Pages
843–854
Publication date
1 January 2026
Language
EN