 Utilization of Artificial Intelligence in Security Management within an OrganizationMarian Kopczewski, Jolanta Wojtowicz-Zygadlo, Slawomir Żurawski and Sylwester Pietrzyk European Research Studies Journal, 2024, vol. XXVII, issue 3, 962-973 Abstract: Purpose: The purpose of the article is to analyse the role of artificial intelligence (AI) in organizational security management, including its impact on improving protection effectiveness and identifying challenges associated with implementing these technologies. The first part of the article addresses contemporary challenges in organizational security management and the essence of AI in modern management. The second part discusses specific applications of AI, including the use of machine learning, natural language processing (NLP), and image recognition algorithms that support both digital and physical security. The third part analyses the challenges associated with implementing AI. Design/Methodology/Approach: The research problem is formulated as a question: Does the application of artificial intelligence in security management contribute to a significant reduction in risk and improvement in protection efficiency? The research hypothesis assumes that the use of AI increases the effectiveness of protective actions through process automation, threat prediction, and faster response, but it also involves challenges such as personal data protection and high system complexity. The article employs theoretical methods, including literature analysis, industry reports, and international research findings. This approach provides a comprehensive view of security management topics utilizing AI. Findings: The conclusions indicate that artificial intelligence has the potential to revolutionize security management by offering effective predictive and analytical tools. However, its full utilization requires addressing issues related to privacy protection, decision-making transparency by algorithms, and the availability of specialists. Further research in this area is necessary for AI technologies to responsibly and sustainably support organizations in ensuring safety. Practical implications: AI technologies, such as machine learning and real-time data analysis, facilitate faster anomaly detection and provide more accurate risk assessments. This enables organizations to better prepare for cyber threats and other forms of operational risk. Simultaneously, advanced AI systems integrate with existing security tools, enhancing their effectiveness without requiring a complete overhaul of technological infrastructure. Originality/value: Artificial intelligence has the potential to revolutionize security management in organizations by offering more efficient, scalable, and precise solutions. However, its full utilization requires not only appropriate technological implementation but also an understanding of emerging threats and the development of suitable risk management strategies. Further research and investment in this area are crucial to ensure that AI development strengthens security in a sustainable and responsible manner. Keywords: Security; management; artificial intelligence; organization; new technologies. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ers:journl:v:xxvii:y:2024:i:3:p:962-973 Access Statistics for this article More articles in European Research Studies Journal from European Research Studies Journal |
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