Identifying Benefits and risks associated with utilizing cloud computing

Identifying Benefits and risks associated with utilizing cloud computing
Notice: This research summary and analysis were automatically generated using AI technology. For absolute accuracy, please refer to the [Original Paper Viewer] below or the Original ArXiv Source.

Cloud computing is an emerging computing model where IT and computing operations are delivered as services in highly scalable and cost effective manner. Recently, embarking this new model in business has become popular. Companies in diverse sectors intend to leverage cloud computing architecture, platforms and applications in order to gain higher competitive advantages. Likewise other models, cloud computing brought advantages to attract business but meanwhile fostering cloud has led to some risks, which can cause major impacts if business does not plan for mitigation. This paper surveys the advantages of cloud computing and in contrast the risks associated using them. Finally we conclude that a well-defined risk management program that focused on cloud computing is an essential part of gaining value from benefits of cloud computing.


💡 Research Summary

The paper provides a comprehensive overview of the benefits and associated risks of adopting cloud computing, concluding that a well‑structured cloud‑focused risk management program is essential for realizing the full value of cloud services. It begins by describing cloud computing as a service‑oriented model—offering infrastructure (IaaS), platforms (PaaS), and software (SaaS) on a pay‑as‑you‑go basis. The authors highlight four primary advantages. First, cost efficiency arises from eliminating large upfront capital expenditures and shifting to operational expense models based on actual usage. Second, scalability and elasticity enable organizations to automatically adjust compute, storage, and network resources in response to fluctuating demand, supporting rapid growth without over‑provisioning. Third, agility is enhanced through near‑instant provisioning of development and test environments, which, when combined with DevOps practices and CI/CD pipelines, dramatically shortens time‑to‑market for new applications. Fourth, global availability and built‑in disaster‑recovery capabilities are achieved by leveraging multi‑region and multi‑availability‑zone architectures, allowing seamless data replication and failover.

The risk analysis section categorizes cloud‑related threats into five groups. Security and privacy risks include data breaches, unauthorized access, and cross‑tenant attacks inherent in multi‑tenant infrastructures. Regulatory and compliance risks stem from jurisdiction‑specific data‑sovereignty laws such as GDPR, HIPAA, and local privacy statutes, which may be difficult to satisfy when data resides in external data centers. Vendor lock‑in risk arises when organizations become heavily dependent on proprietary APIs, services, or management tools, making future migration costly and technically complex. Performance and availability risks cover network latency, service outages, and resource allocation errors that can disrupt business continuity. Finally, contractual and legal risks involve ambiguities in Service Level Agreements (SLAs), insufficient compensation clauses, and potential liability disputes if the provider fails to meet agreed‑upon service standards.

To address these challenges, the authors propose a systematic enterprise risk management framework (RMF) consisting of four iterative steps. 1) Risk Identification: Map critical assets (data, applications), threat vectors (internal and external attackers), and vulnerabilities (misconfigurations, weak authentication). 2) Risk Assessment: Quantify likelihood and impact using qualitative scales or quantitative models, producing a risk matrix that prioritizes remediation efforts. 3) Risk Treatment: Select appropriate strategies—avoidance (keeping highly sensitive data on‑premises), transfer (cyber‑insurance or third‑party security services), mitigation (encryption, multi‑factor authentication, continuous monitoring, zero‑trust networking), or acceptance (when residual risk is deemed tolerable). 4) Monitoring & Review: Implement continuous security monitoring, log analysis, periodic audits, and regular SLA reviews to detect deviations early and trigger corrective actions. The paper also stresses the importance of robust contract management: negotiating clear SLA terms for uptime, data residency, breach notification, and exit clauses that define data extraction and migration assistance.

In the concluding remarks, the authors argue that the strategic advantage of cloud computing can only be fully captured when organizations pair the technical benefits with disciplined risk governance. By embedding a cloud‑centric risk management program into overall IT governance, enterprises can maximize cost savings, scalability, and innovation while minimizing exposure to security breaches, regulatory penalties, service disruptions, and vendor‑related constraints. The paper thus positions risk management not as a peripheral activity but as a core enabler of successful cloud adoption and sustained competitive advantage.


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