ARTIFICIAL INTELLIGENCE IN THE SECURITY SYSTEM OF ENTERPRISE

ARTIFICIAL INTELLIGENCE IN THE SECURITY SYSTEM OF ENTERPRISE

Authors

  • Kostiantyn Lisovskyi Systems National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Ukraine
  • Gleb-David Rochenovich Department of Business Administration University College of Bahrain (UCB), Kingdom of Bahrain

DOI:

https://doi.org/10.36074/grail-of-science.12.05.2023.049

Keywords:

security systems, artificial intelligence, business functioning

Summary

Artificial intelligence (AI) is transforming a number of business functions, including enterprise security systems. Recent years have seen an increase in the use of AI in security systems to detect and mitigate security threats. The purpose of this study is to investigate the use of AI in enterprise security systems. The study aims to identify the novelties in the application of AI to enterprise security systems, the research voids in the existing literature, and the benefits of AI to enterprise security systems. Existing research on the applicability of AI in enterprise security systems will be analyzed through a literature review methodology. The study will shed light on the use of artificial intelligence in enterprise security systems and its future implications.

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References

K.Lisovskiy, and G-D. Rochenovich “Artificial Intelligence in the security system of enterprise”, retrieved from http://dx.doi.org/10.13140/RG.2.2.23364.50562.

J. Lu, L. Chen, and X. Wu, "Application of artificial intelligence in enterprise security systems," Journal of Cyber Security Technology, vol. 2, no. 2, pp. 67-74, 2020.

T. Chen, Y. Zhao, and Y. Wang, "A survey of artificial intelligence in cyber security," International Journal of Computer Science and Network Security, vol. 20, no. 6, pp. 39-46, 2020.

S. R. Madan, M. V. Patil, and P. J. Shinde, "AI based intrusion detection system using deep learning," International Journal of Advanced Research in Computer Science and Software Engineering, vol. 10, no. 3, pp. 1-5, 2020.

Y. Liu, Z. Zhao, and X. Huang, "Fraud detection in financial systems using machine learning algorithms," IEEE Access, vol. 8, pp. 109842-109851, 2020.

Author Biographies

Kostiantyn Lisovskyi, Systems National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Ukraine

Master's Student. Department of Information Communication Technologies
and Systems Educational and research Institute of Telecommunication

Gleb-David Rochenovich, Department of Business Administration University College of Bahrain (UCB), Kingdom of Bahrain

[MBA Student

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Published

25.05.2023

Number of views 1

How to Cite

Lisovskyi, K. ., & Rochenovich, G.-D. . (2023). ARTIFICIAL INTELLIGENCE IN THE SECURITY SYSTEM OF ENTERPRISE. Grail of Science, (27), 308–316. https://doi.org/10.36074/grail-of-science.12.05.2023.049
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