Innovative Data Security Solutions for Cloud-Based Systems: Implementing AI and Automation

Abstract

Cloud-based systems have revolutionized how businesses handle data, offering unparalleled flexibility, scalability, and accessibility. However, with these benefits come significant security challenges. As enterprises increasingly rely on cloud infrastructure, data breaches, and cyber-attacks have become more sophisticated and widespread. This paper explores innovative data security solutions for cloud-based systems, emphasizing the role of artificial intelligence (AI) and automation in enhancing data protection. By employing AI-powered tools, machine learning algorithms, and automated security protocols, organizations can safeguard their cloud environments more effectively. The paper delves into the architecture, methodologies, and real-world applications of AI and automation for cloud security, addressing key challenges such as threat detection, vulnerability management, and compliance.