Author:
Durga Prasada Rao SanaganaPublished in
Journal of Science Technology and Research( Volume , Issue )
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ABSTRACT:
The rapid shift to cloud computing has brought unparalleled benefits—but also new security challenges. This study focuses on Solving Cloud Vulnerabilities: Architecting advanced AI-powered cybersecurity solutions to combat threats like data breaches, insider risks, and DDoS attacks. It explores how artificial intelligence (AI), including machine learning and deep learning, can be integrated to detect anomalies and automate threat responses in real-time. By identifying misconfigurations and monitoring user behavior, AI strengthens defense against increasingly sophisticated attacks. The paper offers a practical roadmap for architects and IT professionals to deploy scalable, intelligent, and secure cloud infrastructures. Drawing from real-world strategies, it emphasizes proactive, adaptive protection models for cloud environments. The findings provide essential guidance for organizations looking to enhance security posture while maintaining performance. This work contributes to future-ready cybersecurity planning by highlighting the transformative role of AI in solving cloud vulnerabilities and architecting resilient solutions.
INTRODUCTION:
The rapid adoption of cloud computing has transformed the digital landscape, offering businesses enhanced flexibility, scalability, and cost-efficiency. However, as organizations migrate sensitive data and operations to the cloud, they face a growing number of sophisticated security threats. These include data breaches, misconfigurations, insider threats, and distributed denial-of-service (DDoS) attacks. Traditional cybersecurity frameworks often fall short in addressing these dynamic risks. This highlights the critical need for solving cloud vulnerabilities: architecting more intelligent and adaptive security solutions. Artificial Intelligence (AI) presents a promising approach to overcoming these challenges. By leveraging machine learning and deep learning algorithms, AI can detect anomalies, predict threats, and automate responses in real-time with perfect solutions . This proactive defense model significantly enhances a cloud infrastructure’s resilience. The purpose of this paper is to explore the architectural strategies that integrate AI into cloud cybersecurity, enabling organizations to secure their systems efficiently while preparing for evolving attack vectors.
