{"title":"Automated API framework tools for evaluating cloud resources (IAM, S3, KMS) for compliance with ISO 27001 case study AWS","authors":"Trudy-Ann Campbell, Samson Eromonsei, Olusegun Afolabi","doi":"10.30574/gjeta.2024.20.1.0126","DOIUrl":null,"url":null,"abstract":"CLOUD— computing's advancements has provided scalability and adaptability but has also given rise to data security concerns. ISO 27001 is vital for cloud information security, yet compliance in dynamic settings poses challenges. Automated API framework tools automate ISO 27001 compliance checks for IAM, S3, and KMS services in AWS, boosting efficiency and minimizing errors. This study investigates the effectiveness of these frameworks, focusing on AWS environments. It explores advantages, difficulties, and practical considerations of automation in cloud compliance. Insights aim to enhance understanding of how automation reinforces security and regulatory adherence. Previous studies highlight the need for adaptable monitoring solutions in cloud setups. Recent research demonstrates the potential of programming languages like Python to streamline compliance processes effectively. This study contributes by examining the efficiency of automated compliance frameworks in AWS, offering perspectives on their practical application in cloud settings.","PeriodicalId":402125,"journal":{"name":"Global Journal of Engineering and Technology Advances","volume":"8 33","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Journal of Engineering and Technology Advances","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30574/gjeta.2024.20.1.0126","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
CLOUD— computing's advancements has provided scalability and adaptability but has also given rise to data security concerns. ISO 27001 is vital for cloud information security, yet compliance in dynamic settings poses challenges. Automated API framework tools automate ISO 27001 compliance checks for IAM, S3, and KMS services in AWS, boosting efficiency and minimizing errors. This study investigates the effectiveness of these frameworks, focusing on AWS environments. It explores advantages, difficulties, and practical considerations of automation in cloud compliance. Insights aim to enhance understanding of how automation reinforces security and regulatory adherence. Previous studies highlight the need for adaptable monitoring solutions in cloud setups. Recent research demonstrates the potential of programming languages like Python to streamline compliance processes effectively. This study contributes by examining the efficiency of automated compliance frameworks in AWS, offering perspectives on their practical application in cloud settings.