Journal of Research in Information Technology and Its Applications ISSN: 3139-504X (Online)

Authors: Ankita Joshi, Kiran Jain

Abstract: Cloud computing has emerged as a vital component of modern digital infrastructure, offering scalability, flexibility, and cost efficiency. However, the increasing reliance on cloud-based services has also escalated the risks associated with cybersecurity threats. Traditional security measures often fail to adequately address the complexities and scale of attacks in cloud environments. This paper explores the potential of leveraging Artificial Intelligence (AI) to enhance cybersecurity in cloud computing. AI-driven solutions, including machine learning, anomaly detection, and automated threat response, are examined in detail. The integration of AI into cloud security frameworks aims to not only improve threat detection but also enable proactive defense mechanisms capable of mitigating risks in real time. We also highlight various AI techniques, their application to cloud environments, and the challenges and future directions for the adoption of AI in cloud cybersecurity.

Keywords:Artificial Intelligence, Cybersecurity, Cloud Computing, Machine Learning, Anomaly Detection, Threat Mitigation, Cloud Security, Real-time Defense, AI Techniques.