Artificial Intelligence in Cybersecurity: Emerging Trends, Technological Advancements, and Future Directions for Cyber Defense

Year : 2025 | Volume : 12 | Issue : 02 | Page : 103 112
    By

    Rupesh Limje,

  • Aman Dangi,

  • Rashmi Singh,

  • Satyam Shrivastava,

  • Shulabh Nagpure,

  • Ishika Sahare,

  1. Student, Department of Information Technology, Bansal Institute of Science & Technology, Bhopal, Kokta, Madhya Pradesh, India
  2. Student, Department of Information Technology, Bansal Institute of Science & Technology, Bhopal, Kokta, Madhya Pradesh, India
  3. Student, Department of Information Technology, Bansal Institute of Science & Technology, Bhopal, Kokta, Madhya Pradesh, India
  4. Student, Department of Information Technology, Bansal Institute of Science & Technology, Bhopal, Kokta, Madhya Pradesh, India
  5. Student, Department of Information Technology, Bansal Institute of Science & Technology, Bhopal, Kokta, Madhya Pradesh, India
  6. Student, Department of Information Technology, Bansal Institute of Science & Technology, Bhopal, Kokta, Madhya Pradesh, India

Abstract

Artificial Intelligence (AI) is revolutionizing the field of cybersecurity by automating complex security tasks, improving threat detection capabilities, and enhancing the precision of threat response mechanisms. With the rapid evolution of cyber threats such as malware, ransomware, phishing, and data breaches, conventional security systems are often insufficient to provide timely and accurate protection. AI, powered by machine learning algorithms and neural networks, enables the analysis of vast datasets to detect anomalies, predict potential attacks, and respond in real time. This study reviews insights from over 250 scholarly studies, demonstrating how AI can strengthen cybersecurity defences and streamline threat management. Despite its advantages, the rising concern lies in the potential exploitation of AI technologies by cybercriminals, which could lead to more sophisticated and evasive attacks. Therefore, the integration of AI with robust security frameworks is crucial. The study also highlights future research directions, focusing on secure AI development, improved data modelling, and infrastructure resilience in the digital age.

Keywords: Artificial intelligence, machine learning models, deep learning and neural networks, AI-driven approaches, natural language processing

[This article belongs to Journal of Artificial Intelligence Research & Advances ]

How to cite this article:
Rupesh Limje, Aman Dangi, Rashmi Singh, Satyam Shrivastava, Shulabh Nagpure, Ishika Sahare. Artificial Intelligence in Cybersecurity: Emerging Trends, Technological Advancements, and Future Directions for Cyber Defense. Journal of Artificial Intelligence Research & Advances. 2025; 12(02):103-112.
How to cite this URL:
Rupesh Limje, Aman Dangi, Rashmi Singh, Satyam Shrivastava, Shulabh Nagpure, Ishika Sahare. Artificial Intelligence in Cybersecurity: Emerging Trends, Technological Advancements, and Future Directions for Cyber Defense. Journal of Artificial Intelligence Research & Advances. 2025; 12(02):103-112. Available from: https://journals.stmjournals.com/joaira/article=2025/view=216744


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Regular Issue Subscription Review Article
Volume 12
Issue 02
Received 28/02/2025
Accepted 27/03/2025
Published 12/07/2025
Publication Time 134 Days
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