MRI
MRI India Journals Vol. 13 No. 2 (2026)

Artificial Intelligence for Cybersecurity: Threats, Attacks and Mitigation — A Systematic Literature Review

Authors

  • Shweta Meshram Department of MCA, MES's Institute of Management and Career Courses, Pune
  • A. K. Kankatre Department of MCA, MES's Institute of Management and Career Courses, Pune
  • V. K. Girjapure Department of MCA, MES's Institute of Management and Career Courses, Pune
  • A. M. Dhadage Department of MCA, MES's Institute of Management and Career Courses, Pune
  • K. J. Nayakawadi Department of MCA, MES's Institute of Management and Career Courses, Pune
  • S. P. Dakre Department of MCA, MES's Institute of Management and Career Courses, Pune

Keywords:

Cybersecurity Cyber-attacks DDoS Man-in-the-Middle Intrusion Detection Artificial Intelligence

Abstract

In terms of the current landscape, cybersecurity is a multifaceted and dynamic tapestry that requires comprehensive understanding and vigilance. While AI has the potential to revolutionize cybersecurity, it is crucial to recognize the potential risks associated with its application. The integration of AI in cybersecurity can provide pivotal benefits, such as enhanced threat detection, proactive security measures, and improved incident response. However, AI can also be leveraged by cybercriminals to develop more sophisticated and intelligent attacks. As such, it is essential to adopt a strategic and balanced approach, striking a balance between exploiting its potential benefits and mitigating the associated risks.

 

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Published

2026-06-03

How to Cite

Meshram, S., Kankatre, A. K., Girjapure, V. K., Dhadage, A. M., Nayakawadi, K. J., & Dakre, S. P. (2026). Artificial Intelligence for Cybersecurity: Threats, Attacks and Mitigation — A Systematic Literature Review. Multidisciplinary Journal of Research in Engineering and Technology, 13(2), 365–369. Retrieved from https://journals.mriindia.com/index.php/mjret/article/view/3350

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