Mixed-methods analysis reveals gains in vulnerability remediation with the Adaptive Mobile Vulnerability Management Framework, indicating improvements for BYOD settings.
Mobile devices are now central to personal and corporate digital ecosystems, yet traditional security strategies often fail to address their unique vulnerabilities. This study introduces the Adaptive Mobile Vulnerability Management Framework (AMVMF), a sector-tested model that integrates Mobile Device Management (MDM), real-time threat intelligence, and context-aware risk scoring into a continuous defense cycle. Using a mixed-methods approach, including a systematic literature review, multi-sector case studies (healthcare, finance, education), and expert validation via the Delphi method, we identified and mitigated both technical and human-centric risks. Results demonstrate notable improvements, including reduced vulnerability remediation times, increased patch adoption rates, and fewer security incidents such as mobile phishing. The AMVMF’s layered approach bridges the gap between policy and execution, providing a scalable solution for securing mobile endpoints in both BYOD and corporate settings. By uniting automation, proactive monitoring, and context-driven prioritisation, this framework advances mobile cybersecurity resilience while maintaining operational flexibility.
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Onyagu et al. (2025) studied this question.
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