Assessing Cybersecurity Vulnerabilities in Higher Education Institutions: A Comparative Perspective

Higher Education Institutions (HEIs) have become increasingly dependent on digital technologies to support teaching, research, administration, and global collaboration. This digital transformation, while enhancing academic productivity and accessibility, has significantly expanded institutional exposure to cybersecurity threats. Universities manage vast repositories of sensitive information, including student records, financial data, intellectual property, and high-value research outputs, making them attractive targets for cybercriminals. This study presents a comparative cybersecurity risk assessment of HEIs, examining key technological, organizational, and behavioral factors that influence institutional vulnerability and resilience. The research adopts a quantitative approach using Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze relationships among five major constructs such as Technical Vulnerability (TV), Organizational Policy Effectiveness (OPE), User Behavior (UB), Incident Response Capability (IRC), and External Threat Exposure (ETE). Data were collected through a structured survey administered to IT administrators, cybersecurity officers, and faculty members across public and private HEIs. The model evaluates both measurement reliability and structural relationships to identify statistically significant predictors of cybersecurity risk. Findings reveal that Technical Vulnerability has a significant positive impact on External Threat Exposure, indicating that outdated systems, unpatched software, decentralized IT environments, and weak configuration management substantially increase susceptibility to cyberattacks such as phishing, ransomware, and data breaches. Incident Response Capability demonstrates the strongest mitigating effect on threat exposure, emphasizing the importance of proactive monitoring systems, rapid detection mechanisms, regular backups, and skilled cybersecurity personnel. Institutions with well-developed response frameworks show greater resilience and reduced operational disruption. Organizational Policy Effectiveness indirectly influences cybersecurity risk by shaping User Behavior and strengthening incident response processes. Effective governance structures, clear cybersecurity policies, leadership commitment, and continuous awareness training significantly improve compliance and responsible digital practices among students and staff. The results highlight that cybersecurity in HEIs cannot rely solely on technological safeguards it requires integrated governance, cultural alignment, and user accountability. The model explains a substantial proportion of variance in External Threat Exposure (R² = 0.53), confirming moderate-to-strong explanatory power. Predictive relevance measures further validate the model’s robustness, demonstrating its suitability for institutional risk forecasting and strategic planning. Effect size analysis supports prioritization of high-impact areas, enabling evidence-based allocation of limited cybersecurity resources. Comparative analysis between public and private HEIs reveals structural differences influenced by funding capacity, technological infrastructure, and governance maturity. Larger research-intensive universities, while equipped with advanced security systems, face broader attack surfaces due to complex digital ecosystems and international collaborations. Conversely, smaller and resource-constrained institutions may experience higher vulnerability due to outdated infrastructure and limited specialized personnel. These findings underscore that cybersecurity risk is shaped not merely by institutional size but by strategic resource management, policy enforcement, and organizational culture. The study contributes to cybersecurity research by providing a multidimensional framework tailored to academic environments. It integrates technological, human, and governance perspectives into a unified risk assessment model and demonstrates the practical value of PLS-SEM for comparative institutional analysis. The results offer actionable insights for policymakers, institutional leaders, and IT administrators to strengthen resilience through targeted investments in technical upgrades, governance reforms, and user training initiatives. Overall, this research underscores that cybersecurity risk management in higher education is a strategic and socio-economic imperative. By adopting data-driven, holistic approaches to risk assessment and mitigation, HEIs can safeguard academic integrity, protect sensitive information assets, and ensure sustainable digital transformation in an increasingly complex threat landscape.