TEJAS Journal of Technologies and Humanitarian Science

Dr. Shalini Sharma

Author

Dr. Rekha Sharma

Author

Er. Akshay Sharma

Author

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Abstract:

The rapid evolution of cyber threats demands sophisticated and adaptive defence mechanisms. Artificial Intelligence (AI) has emerged as a transformative technology in enhancing threat detection and response capabilities in cybersecurity. This paper explores the integration of AI techniques such as machine learning, deep learning, and natural language processing in identifying and mitigating cyber threats. We analyse a detailed case study demonstrating the practical application of AI in a real-world financial institution’s cybersecurity operation. The findings highlight AI’s efficacy in improving detection accuracy, reducing false positives, shortening response times, and enabling proactive threat management. Additionally, the paper discusses challenges, ethical considerations, and future directions for AI in cybersecurity.

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