Author

Igor Rudenko

Master

Yaroslav Mudryi National Law University

61024, 77 Hryhorii Skovoroda Str., Kharkiv, Ukraine

https://orcid.org/0009-0008-3582-3951

igorudenko4875@outlook.com

All articles

open access

Keywords: machine learning algorithms; hybrid analysis models; intrusion detection and prevention systems; software verification automation; application interface protection; attack simulation scenarios

Possibilities and limitations of artificial intelligence in vulnerability testing: Effectiveness of the approach as opposed to traditional pentesting

Igor Rudenko*

igorudenko4875@outlook.com

https://doi.org/10.62660/bcstu/3.2025.47

Suggested citation

Rudenko, I. (2025). Possibilities and limitations of artificial intelligence in vulnerability testing: Effectiveness of the approach as opposed to traditional pentesting. Bulletin of Cherkasy State Technological University, 30(3), 47-60. https://doi.org/10.62660/bcstu/3.2025.47
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  • 15.09.2025
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  • Library Science. Record Studies. Informology - Volume 30, No. 3, 2025