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VOL. 10, ISSUE 2 (2026)
AI-based threat detection in cybersecurity: Opportunities and challenges
Authors
Simran Shinde, Pal Adnan Umar Saheb, Huzaif Bagwan
Abstract
The
rapid proliferation of digital infrastructure has made cybersecurity critical
to modern computing. Traditional rule-based systems are inadequate against
evolving threats. This paper investigates AI's dual role in cybersecurity:
strengthening defenses through ML/DL-based Intrusion Detection Systems (IDS),
malware identification, network traffic analysis, and automated incident
response; while also introducing adversarial risks. Through literature review
and comparative analysis, the paper provides a comprehensive view of
responsible AI deployment for resilient cybersecurity.
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Pages:79-81
How to cite this article:
Simran Shinde, Pal Adnan Umar Saheb, Huzaif Bagwan "AI-based threat detection in cybersecurity: Opportunities and challenges". International Journal of Advanced Engineering and Technology, Vol 10, Issue 2, 2026, Pages 79-81
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