Date of Conferral
10-22-2026
Date of Award
October 2026
Degree
Doctor of Information Technology (D.I.T.)
School
Information Systems and Technology
Advisor
Cynthia Phillips
Abstract
Information Technology (IT) managers are concerned about the increased risks of unauthorized access, data breaches, and exposure of sensitive organizational information when proprietary data are inadequately protected during remote access through virtual private networks (VPNs). These security vulnerabilities threaten data confidentiality, organizational operations, regulatory compliance, and financial stability, making effective VPN security management a critical responsibility for IT managers. The purpose of this qualitative multiple case study, guided by protection motivation theory, was to identify strategies IT managers used to secure proprietary data during VPN-based remote access. Participants included five IT managers in the southeastern United States who had successfully implemented data protection strategies. Data were collected through semistructured interviews and analyzed using thematic analysis. Five themes emerged: layered security architecture, zero-trust and access control, policy compliance and enforcement, human factor and security culture, and incident response and trust rebuilding. Findings emphasized integrating technical safeguards, organizational policies, employee accountability, and incident response. A key recommendation is for IT managers to implement continuous cybersecurity awareness training, zero-trust frameworks, automated compliance controls, and established incident response procedures. The implications for positive social change include the potential for IT managers to strengthen information security, reduce employees’ exposure to cybersecurity threats, and promote safer remote work environments while benefiting local communities through increased confidence in digital systems and fewer cybersecurity disruptions.
Recommended Citation
Sanchez, Robert H., "Virtual Private Network (VPN) Strategies in Securing Organizational Data: A Multi-Case Qualitative Study" (2026). Walden Dissertations and Doctoral Studies. 20933.
https://scholarworks.waldenu.edu/dissertations/20933
