Auditing Change Management in Cloud Computing Environments: New Challenges and Solutions

Cloud computing environments have revolutionized the way organizations operate, offering scalability, flexibility, and cost-efficiency. They also introduce unique challenges to change management auditing, which can impact security, compliance, and overall IT governance. Traditional change management practices are often insufficient due to the dynamic, multi-tenant, and geographically dispersed nature of cloud environments. Key challenges include lack of visibility into service providers internal controls, complex data sovereignty requirements, and dependency on vendor-driven updates. Additionally, the increased frequency of changes in cloud environments often outpaces the traditional change management protocols, creating potential compliance and security risks. To address these issues, organizations must adopt a hybrid approach to change management, leveraging both automated monitoring tools and real-time auditing solutions that provide continuous visibility. Implementing robust change logging, incident tracking, and automated alerting within the cloud infrastructure can enhance accountability and facilitate compliance. Moreover, clear Service Level Agreements (SLAs) with cloud providers, along with regular third-party audits, can strengthen control over outsourced operations. Solutions such as the integration of artificial intelligence (AI) for predictive analytics and machine learning models for anomaly detection can further streamline the change management process. Ultimately, a proactive and collaborative approach to auditing, combined with adaptive tools and practices, is essential for organizations to maintain compliance and secure their cloud operations.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-10
DOI
https://doi.org/10.5281/zenodo.14065114
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
0.00
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article

Auditing Change Management in Cloud Computing Environments: New Challenges and Solutions

Zenodo (CERN European Organization for Nuclear Research)
Software System Performance and Reliability
article

Auditing Change Management in Cloud Computing Environments: New Challenges and Solutions

article en

Abstract

Cloud computing environments have revolutionized the way organizations operate, offering scalability, flexibility, and cost-efficiency. They also introduce unique challenges to change management auditing, which can impact security, compliance, and overall IT governance. Traditional change management practices are often insufficient due to the dynamic, multi-tenant, and geographically dispersed nature of cloud environments. Key challenges include lack of visibility into service providers internal controls, complex data sovereignty requirements, and dependency on vendor-driven updates. Additionally, the increased frequency of changes in cloud environments often outpaces the traditional change management protocols, creating potential compliance and security risks. To address these issues, organizations must adopt a hybrid approach to change management, leveraging both automated monitoring tools and real-time auditing solutions that provide continuous visibility. Implementing robust change logging, incident tracking, and automated alerting within the cloud infrastructure can enhance accountability and facilitate compliance. Moreover, clear Service Level Agreements (SLAs) with cloud providers, along with regular third-party audits, can strengthen control over outsourced operations. Solutions such as the integration of artificial intelligence (AI) for predictive analytics and machine learning models for anomaly detection can further streamline the change management process. Ultimately, a proactive and collaborative approach to auditing, combined with adaptive tools and practices, is essential for organizations to maintain compliance and secure their cloud operations.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 54%
Software System Performance and Reliability
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