AI and Adaptive Cybersecurity Strategies in Higher Education Institutions (HEIs): Towards a Secure Digital Infrastructure

Greater digital dependency in higher education institutions (HEIs) has rendered them vulnerable to ever more sophisticated cyber-attacks. Traditional incident response strategies and static authentication mechanisms cannot manage the sophistication and volume of such attacks. This paper provides a conceptual synopsis of how artificial intelligence (AI) can transform cybersecurity strategies in (HEIs), specifically incident response and detection as well as adaptive authentication. Using an integrative thematic synthesis and literature review, we map AI capabilities to the (NIST SP 800-61) incident response stages and (MITRE ATT&CK tactics). Our findings indicate that AI enhances intrusion detection accuracy, reduces incident response time via (SOAR) automation, and enables risk-based continuous authentication according to Zero Trust tenets. The paper proposes a conceptual framework for incorporating these (AI) tools into institutional security layers. While privacy and explain ability issues remain stumbling blocks, the study presents pragmatic suggestions for applying smart, scalable, and responsive cybersecurity solutions to institutions of higher education.