Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/149285
Title: The impact of artificial intelligence on organisational security management
Authors: Chodyka, Marta
Ciekanowski, Zbigniew
Kręcikij, Janusz
Wronka, Sławomir
Żurawski, Sławomir
Drapikowska, Barbara
Keywords: Artificial intelligence -- Business applications
Computer security -- Management
Business enterprises -- Technological innovations
Risk management
Artificial intelligence -- Security measures
Issue Date: 2026
Publisher: University of Piraeus. International Strategic Management Association
Citation: Chodyka, M., Ciekanowski, Z., Kręcikij, J., Wronka, S., Żurawski, S., & Drapikowska, B. (2026). The impact of artificial intelligence on organisational security management. European Research Studies Journal, 29(2), 595-605.
Abstract: PURPOSE: The aim of this article is to analyse the impact of artificial intelligence on organisational security management and to identify the opportunities and threats arising from the implementation of AI-based solutions in modern organisations.
DESIGN/METHODOLOGY/APPROACH: The study employed a critical literature review, a comparative analysis, and an analysis of current reports on cybersecurity and artificial intelligence. The research process involved analysing academic publications, industry reports, and international regulations on AI governance and organisational security management. The research question was formulated as follows: how does artificial intelligence influence the effectiveness of organisational security management? The research hypothesis posited that the use of artificial intelligence enhances the effectiveness of organisational security management by improving threat identification, data analysis and the automation of incident response processes, whilst simultaneously generating new challenges related to information and organisational security.
FINDINGS: The analysis indicates that artificial intelligence significantly increases an organisation’s security management effectiveness by supporting threat identification, data analysis, risk management, and the automation of security incident response. At the same time, the development of AI generates new challenges related to cyber threats, limited algorithm transparency, the phenomenon of shadow AI, data protection and the need to build effective AI governance systems.
PRACTICAL IMPLICATIONS: The research findings can support organisations in building effective AI oversight systems, improving cybersecurity systems and increasing organisational resilience. The article also highlights the need to implement security policies, develop staff competencies and ensure compliance with AI regulations.
ORIGINALITY/VALUE: The article presents a comprehensive approach to the issues linking artificial intelligence, cybersecurity and organisational management. The value of the study lies in identifying the benefits and risks associated with the use of AI in organisational security systems, drawing on current international reports, academic literature, and contemporary management challenges.
URI: https://www.um.edu.mt/library/oar/handle/123456789/149285
Appears in Collections:European Research Studies Journal, Volume 29, Issue 2

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