AWS and Cloud Data Center Security: Challenges and Mitigation Strategies

Amazon Web Services is a leader in cloud solutions, but its broad use has created substantial security threats. These include cyber threats, misconfigurations, data breaches, insecure APIs, and risks associated with publicly available AMIs. Furthermore, regulatory compliance issues in industries such as finance, healthcare, and government impede secure operations. Despite AWS's comprehensive security tools, there are still gaps in determining the effectiveness of mitigating actions for these vulnerabilities. This study investigates these difficulties, identifies their core causes, and evaluates the current risk-mitigation measures used in AWS systems. The study assesses various methods, including encryption, multi-factor authentication, intrusion detection system, and AI-driven threat detection. It also looks into emerging ways for proactively managing hazards, such as combining blockchain technology with adaptive machine learning algorithms. This research aims to identify the main security concerns that AWS faces, evaluate the efficiency of current solutions, and investigate innovative riskmanagement measures. The purpose is to identify major threats, assess how well current measures address them, and give actionable suggestions to IT experts. The research aims to improve AWS security standards by combining theoretical insights with real-world implementations, opening the way for resilient and flexible cloud systems that meet the demands of an increasingly digital world.