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Artificial Intelligence in Cybersecurity: Advancing Intelligent Threat Detection, Prevention, and Automated Response

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  • Muhammed Sanad V. K.

    (School of Computer Science and Information Technology, Jain (Deemed to be University))

  • M. S. Bhavath Krishna

    (School of Computer Science and Information Technology, Jain (Deemed to be University))

  • Eldhose James

    (School of Computer Science and Information Technology, Jain (Deemed to be University))

  • Dr. Suma S.

    (School of Computer Science and Information Technology, Jain (Deemed to be University))

Abstract

The digital world is expanding fast, but so are the cracks in its armor. Traditional security tools are failing to keep up with the sheer volume of modern cyber threats. This paper takes a hard look at how Artificial Intelligence (AI) is stepping in to fix this mess. We're shifting from a reactive defense strategy to one that predicts attacks before they land. We explore how AI is being used to detect intrusions, classify malware, and stop phishing, while also being honest about the risks, like attackers using AI against us and the problem of opaque algorithms we can't explain. The bottom line? AI isn't a magic fix, but it’s the only way we stand a chance against the speed of modern cybercrime.

Suggested Citation

  • Muhammed Sanad V. K. & M. S. Bhavath Krishna & Eldhose James & Dr. Suma S., 2026. "Artificial Intelligence in Cybersecurity: Advancing Intelligent Threat Detection, Prevention, and Automated Response," International Journal of Research and Innovation in Applied Science, International Journal of Research and Innovation in Applied Science (IJRIAS), vol. 11(4), pages 1428-1432, April.
    • Handle: RePEc:bjf:journl:v:11:y:2026:i:4:p:1428-1432
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