• Karan Ganesham Kota

As the digital landscape evolves, the proliferation of sophisticated cyber threats poses a significant challenge to the security of individuals, organizations, and nations. This research paper explores the role of advanced Artificial Intelligence (AI) techniques in enhancing cybersecurity defences. The paper conducts a comprehensive review of existing literature, examining the utilization of AI, including machine learning, deep learning, and natural language processing, in the realm of cybersecurity. The literature review encompasses successful applications of AI in threat detection, anomaly detection, and incident response, shedding light on the effectiveness of these techniques in addressing the dynamic nature of cyber threats. Through case studies, the research analyses real-world implementations, demonstrating the impact of AI on improving accuracy in threat detection and reducing response times. Despite the promising advancements, challenges and limitations associated with the integration of AI into cybersecurity practices are discussed. Ethical considerations, such as bias in AI algorithms and responsible deployment, are explored to underscore the importance of ethical guidelines in the development and application of AI technologies for cybersecurity. Looking towards the future, the paper proposes potential directions for research and development in AI for cybersecurity. It emphasizes emerging technologies and identifies areas requiring further exploration to stay ahead of evolving cyber threats. Practical recommendations for organizations seeking to integrate AI into their cybersecurity frameworks are provided, considering for solution selection and implementation. Additionally, the paper delves into the evaluation metrics crucial for assessing the effectiveness of AI-driven cybersecurity solutions, recognizing the need for continuous evaluation and adaptation in the face of an ever-changing threat landscape. In conclusion, this research consolidates key findings, highlighting the transformative potential of AI in fortifying cybersecurity defences and shaping the future of digital security.

Cybersecurity, Artificial Intelligence (AI), Machine Learning, Deep Learning Natural Language Processing, Threat Detection, Anomaly Detection, Incident Response, Case Studies, Ethical Considerations, Bias in AI Algorithms, Responsible Deployment Future Directions, Emerging Technologies, Implementation Recommendations, Evaluation Metrics, Continuous Evaluation Digital Security, Cyber Threats Defence Mechanisms

"Enhancing Cybersecurity Through Advanced AI Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.d697-d701, February-2024, Available :http://www.jetir.org/papers/JETIR2402383.pdf

"Enhancing Cybersecurity Through Advanced AI Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 2, page no. ppd697-d701, February-2024, Available at : http://www.jetir.org/papers/JETIR2402383.pdf