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Artificial Intelligence And Cybersecurity Implications For Business Management

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  • Philippe Funk

Abstract

The cybersecurity market is a fast-growing market due to cybersecurity's ever-changing nature of attacking and defending. Organizations need to find new ways to counter cybersecurity threats. Artificial Intelligence (A.I.) has the potential to create disruptive change, both for good and evil. To better manage cybersecurity within organizations, companies must look at how technology can be used with the people who use it daily. By implementing artificial intelligence, cybersecurity teams can make faster decisions, allowing them to move faster than attackers. Business management using artificial intelligence can help organizations make more informed business decisions about their products and services. Cybersecurity and artificial intelligence must work together to increase cybersecurity awareness within organizations. This paper discusses cybersecurity and artificial intelligence implications on business management using cybersecurity journals, websites, company information, and military information sites. It also uses artificial intelligence journals and the author's experience in cybersecurity training. It highlights that when it comes to artificial intelligence (A.I.) and cybersecurity, businesses need to be aware of the potential implications for their management and operations. With the ever-increasing sophistication of A.I. technology, cybercriminals find new ways to exploit vulnerabilities in systems and networks. As such, businesses need to understand the risks associated with A.I. and cybersecurity to take steps to mitigate them.

Suggested Citation

  • Philippe Funk, 2022. "Artificial Intelligence And Cybersecurity Implications For Business Management," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 16(1), pages 252-261.
    • Handle: RePEc:isp:journl:v:16:y:2022:i:1:p:252-261
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    References listed on IDEAS

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    1. Gergő Barta & Gergely Görcsi, 2021. "Risk management considerations for artificial intelligence business applications," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 21(1), pages 87-106.
    2. Cao, Guangming & Duan, Yanqing & Edwards, John S. & Dwivedi, Yogesh K., 2021. "Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making," Technovation, Elsevier, vol. 106(C).
    3. Du, Shuili & Xie, Chunyan, 2021. "Paradoxes of artificial intelligence in consumer markets: Ethical challenges and opportunities," Journal of Business Research, Elsevier, vol. 129(C), pages 961-974.
    4. Abdellah Chehri & Issouf Fofana & Xiaomin Yang, 2021. "Security Risk Modeling in Smart Grid Critical Infrastructures in the Era of Big Data and Artificial Intelligence," Sustainability, MDPI, vol. 13(6), pages 1-19, March.
    5. Lee, In, 2021. "Cybersecurity: Risk management framework and investment cost analysis," Business Horizons, Elsevier, vol. 64(5), pages 659-671.
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