Cloud Computing Security and Risk Management in Smart Learning Environments: An Enterprise Risk Management Framework for Institutional Adoption

US Journal of New Insights in Tech & Education

Kanita Haider, Danish Mahmud, Oishe Al Mariz

Chittagong University of Engineering and Technology, Chittagong, Bangladesh; University of the Cumberlands, Kentucky, USA

US Journal of New Insights in Tech & EducationVol. 7, Issue 1July 25, 2026

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Abstract

As institutions migrate learning management systems, e-learning platforms, and learninganalytics infrastructure to third-party cloud environments, they inherit cloud-specific cybersecurity and data-privacy risks that education-sector security research has documented extensively, phishing, insider threats, vendor risk, and gaps in breach disclosure, but has not yet paired with a formal enterprise-grade risk-management response. This paper argues that Enterprise Risk Management (ERM), and specifically the baseline cloud-security requirements developed for general enterprise deployments, offers a more mature and transferable governance model than education-sector practice has produced on its own. Synthesizing the higher-education threat literature with the enterprise ERM literature, the paper develops a threat-to-control relevance matrix, a four-tier data classification for smart learning environment (SLE) data, a threelines governance layer, and a dedicated vendor-risk component. The framework is then evaluatedwith a hybrid quantitative design: an analytic hierarchy process (AHP) prioritizes seven components (consistency ratio 0.008); a FAIR-style Monte Carlo model with 100,000 trials estimates annual loss under inherent, baseline, and ERM scenarios; an independent-cascade model of a twelve-service dependency network quantifies systemic exposure; and stepwise return-oninvestment and sensitivity analyses translate the results into an adoption sequence. Under illustrative, literature-informed parameters, the ERM scenario lowers expected annual loss from $4.15M to $1.36M (67% lower), reduces the probability of exceeding a $5 million annual loss from 26.2% to 2.6%, and cuts the probability of a cascade affecting four or more services from 23.1% to 3.8%. Governance consistency and control strength dominate output uncertainty. The paper concludes that institutional cybersecurity for smart learning environments should be governed as a strategic, leadership-owned risk function rather than delegated to IT as a technical afterthought, and it proposes practical recommendations for pre-migration risk assessment, executive risk ownership, and mandatory vendor risk documentation ahead of EdTech procurement.

Keywords

Cloud computing securityEnterprise risk managementSmart learning environmentsAnalytic hierarchy processMonte Carlo simulationVendor risk managementHigher education cybersecurity

Article Information

Published
July 25, 2026
Journal
US Journal of New Insights in Tech & Education
Volume / Issue
7 / 1
Article No.
USJNITE-2601
Year
2026

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