AI-Powered Defense: Advancing Cybersecurity Through Artificial Intelligence Innovations

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2025 | Volume : 04 | 01 | Page :
    By

    Tanisha Waghmare,

  • Nandini Waychale,

  • P. N. Fuldeore,

  • S. L. Vidhate,

  • Nita Shinde,

  1. , Department of MCA, MET’s Institute of Engg, Nashik, Maharashtra, India
  2. , Department of MCA, MET’s Institute of Engg, Nashik, Maharashtra, India
  3. , Department of MCA, MET’s Institute of Engg, Nashik, Maharashtra, India
  4. , Department of MCA, MET’s Institute of Engg, Nashik, Maharashtra, India
  5. , Department of MCA, MET’s Institute of Engg, Nashik, Maharashtra, India

Abstract

In the current landscape of escalating cyber threats and increasingly sophisticated attack vectors, integrating Artificial Intelligence (AI) within cybersecurity strategies has become a critical step forward. This paper delves into how AI can significantly enhance cybersecurity measures by capitalizing on its capabilities in data analysis, pattern recognition, and predictive modeling. By leveraging AI, organizations can substantially improve their threat detection and response capabilities. Machine learning algorithms facilitate continuous adaptation to emerging threats, thereby fortifying security frameworks against evolving cybercriminal tactics. As organizations increasingly rely ondigital infrastructures, the demand for robust cybersecurity solutions becomes paramount. This necessitates the adoption of AI-powered approaches to not only safeguard sensitive data but also proactively anticipate and mitigate potential cyber threats within a dynamic digital environment. Ultimately, the integration of AI into cybersecurity represents a crucial stride towards achieving a more resilient and robust defense against the ever-evolving spectrum of cyber risks.

Keywords: NLP, ML, Deep-learning, Intrusion detection system, intrusion prevention system, big data analytics

How to cite this article:
Tanisha Waghmare, Nandini Waychale, P. N. Fuldeore, S. L. Vidhate, Nita Shinde. AI-Powered Defense: Advancing Cybersecurity Through Artificial Intelligence Innovations. International Journal of Information Security Engineering. 2025; 04(01):-.
How to cite this URL:
Tanisha Waghmare, Nandini Waychale, P. N. Fuldeore, S. L. Vidhate, Nita Shinde. AI-Powered Defense: Advancing Cybersecurity Through Artificial Intelligence Innovations. International Journal of Information Security Engineering. 2025; 04(01):-. Available from: https://journals.stmjournals.com/ijise/article=2025/view=232422


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Ahead of Print Subscription Review Article
Volume 04
01
Received 16/06/2025
Accepted 05/09/2025
Published 17/11/2025
Publication Time 154 Days
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