Navigating the business landscape: challenges and opportunities of implementing artificial intelligence in cybersecurity governance

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Abstract

The term’AI for Cybersecurity’ is used to describe cybersecurity boosting measures that utilize Artificial Intelligence. At this point, removing humans from the process will hasten the process because AI can quickly explore the plethora of data sets for any potential threat. If any of these imperfections are identified, AI may utilize this information to enhance its defenses and preserve the safety of the finances and market in the business. In retail enterprises, both internal value network innovation and external value network innovation significantly contribute to the advancement of functional business model innovation and artificial intelligence business model innovation. The presence of network centrality and structural defects have the knowledge network has been linked to a positive impact on the relationship between external research and innovation. Organizations should take careful consideration of their external search strategies, considering the inverted U-shaped relationship between external search and innovation results

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APA

Rafel, P. V., Sanchez-Rivero, C., & Ojeda-Castro, A. (2023). Navigating the business landscape: challenges and opportunities of implementing artificial intelligence in cybersecurity governance. Issues in Information Systems, 24(4), 328–338. https://doi.org/10.48009/4_iis_2023_125

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