@article{(Open Science Index):https://publications.waset.org/pdf/10013632,
	  title     = {AI-Driven Cloud Security: Proactive Defense Against Evolving Cyber Threats},
	  author    = {Ashly Joseph},
	  country	= {},
	  institution	= {},
	  abstract     = {Cloud computing has become an essential component of enterprises and organizations globally in the current era of digital technology. The cloud has a multitude of advantages, including scalability, flexibility, and cost-effectiveness, rendering it an appealing choice for data storage and processing. The increasing storage of sensitive information in cloud environments has raised significant concerns over the security of such systems. The frequency of cyber threats and attacks specifically aimed at cloud infrastructure has been increasing, presenting substantial dangers to the data, reputation, and financial stability of enterprises. Conventional security methods can become inadequate when confronted with ever intricate and dynamic threats. Artificial Intelligence (AI) technologies possess the capacity to significantly transform cloud security through their ability to promptly identify and thwart assaults, adjust to emerging risks, and offer intelligent perspectives for proactive security actions. The objective of this research study is to investigate the utilization of AI technologies in augmenting the security measures within cloud computing systems. This paper aims to offer significant insights and recommendations for businesses seeking to protect their cloud-based assets by analyzing the present state of cloud security, the capabilities of AI, and the possible advantages and obstacles associated with using AI into cloud security policies.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {18},
	  number    = {5},
	  year      = {2024},
	  pages     = {261 - 265},
	  ee        = {https://publications.waset.org/pdf/10013632},
	  url   	= {https://publications.waset.org/vol/209},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 209, 2024},
	}