Integrating AI in Cybersecurity Higher Education: A Path to Workforce Readiness

The rapid evolution of cyber threats has intensified the need for advanced educational frameworks that equip future professionals with the skills to tackle emerging challenges. Artificial Intelligence (AI) has become a transformative force in cybersecurity, offering enhanced threat detection, automated response mechanisms, and predictive analytics. However, integrating AI into cybersecurity higher education remains a challenge due to curriculum gaps, faculty expertise limitations, and resource constraints. This paper proposes a multi-dimensional framework to incorporate AI into cybersecurity education through hands-on training, faculty development, and curriculum restructuring. By leveraging AI-driven methodologies and industry collaborations, the framework aims to bridge the skills gap and prepare students for real-world cybersecurity challenges. The study highlights key strategies for improving workforce readiness and ensuring that graduates possess the competencies required to navigate the dynamic threat landscape effectively.

Authors

Publication Details

Journal
Journal of Intelligent Learning Systems and Applications
Published
2025-01-01
DOI
https://doi.org/10.4236/jilsa.2025.172005
Primary Topic
Information and Cyber Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrating AI in Cybersecurity Higher Education: A Path to Workforce Readiness

Maryam Roshanaei, Mark Gregory Jachura
Journal of Intelligent Learning Systems and Applications
Information and Cyber Security
article

Integrating AI in Cybersecurity Higher Education: A Path to Workforce Readiness

Maryam Roshanaei, Mark Gregory Jachura
article en

Abstract

The rapid evolution of cyber threats has intensified the need for advanced educational frameworks that equip future professionals with the skills to tackle emerging challenges. Artificial Intelligence (AI) has become a transformative force in cybersecurity, offering enhanced threat detection, automated response mechanisms, and predictive analytics. However, integrating AI into cybersecurity higher education remains a challenge due to curriculum gaps, faculty expertise limitations, and resource constraints. This paper proposes a multi-dimensional framework to incorporate AI into cybersecurity education through hands-on training, faculty development, and curriculum restructuring. By leveraging AI-driven methodologies and industry collaborations, the framework aims to bridge the skills gap and prepare students for real-world cybersecurity challenges. The study highlights key strategies for improving workforce readiness and ensuring that graduates possess the competencies required to navigate the dynamic threat landscape effectively.

Journal of Intelligent Learning Systems and ApplicationsVol. 17(02)
Decent work and economic growth
Openalex Percentile: Top 93%
Information and Cyber Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Integrating AI in Cybersecurity Higher Education: A Path to Workforce Readiness — Maryam Roshanaei, Mark Gregory Jachura · Journal of Intelligent Learning Systems and Applications (2025) | TGRS Research Map | TGRS