AI-Powered Defense: Advancing Cybersecurity Through Artificial Intelligence Innovations

Year : 2025 | Volume : 04 | Issue : 01 | Page : 35 41
    By

    Tanisha Waghmare,

  • Nandini Waychale,

  • P. N. Fuldeore,

  • S. L. Vidhate,

  • Nita Shinde,

  1. Student, Department of MCA, MET’s Institute of Engineering, Nashik, Maharashtra, India
  2. Student, Department of MCA, MET’s Institute of Engineering, Nashik, Maharashtra, India
  3. Assistant Professor, Department of MCA, MET’s Institute of Engineering, Nashik, Maharashtra, India
  4. Assistant Professor, Department of MCA, MET’s Institute of Engineering, Nashik, Maharashtra, India
  5. Assistant Professor, 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 study explores the role of AI in strengthening cybersecurity by utilizing its strengths in data analysis, pattern recognition, and predictive modeling. Through AI, organizations can greatly enhance their ability to detect and respond to threats. Machine learning algorithms enable ongoing adaptation to new risks, thereby reinforcing security systems against the constantly changing strategies of cybercriminals. As organizations increasingly rely on digital 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: Big data analytics, deep learning, intrusion detection system, intrusion prevention system, machine learning (ML), natural language processing (NLP)

[This article belongs to International Journal of Information Security Engineering ]

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):35-41.
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):35-41. Available from: https://journals.stmjournals.com/ijise/article=2025/view=232422


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