CyberCompanion: Enhancing Cybersecurity Awareness through AI-Powered Training and Personalized Learning

Authors

  • Murad Al-Rajab College of Engineering, Abu Dhabi University Abu Dhabi, UAE
  • Fathi M. AlKhatib College of Engineering, Abu Dhabi University Abu Dhabi, UAE
  • Ahmad Hasna College of Engineering, Abu Dhabi University Abu Dhabi, UAE
  • Ghanem AlMarar College of Engineering, Abu Dhabi University Abu Dhabi, UAE
  • Ahmed Yasser Sharif College of Engineering, Abu Dhabi University Abu Dhabi, UAE

DOI:

https://doi.org/10.63332/joph.v5i7.2995

Keywords:

Cybersecurity, AI-Powered Training, Personalized Learning, Cybersecurity Awareness, Cybersecurity Education, Generative AI in Training, Natural Language Processing (NLP) in Education

Abstract

The leading cause of cyber-attacks is the human error, which is caused by the lack of awareness in cybersecurity within organizations, this raises the importance for a solution for cybersecurity unawareness, especially within non-technical staff, and staff working outside the scope of cybersecurity. The training solutions offered in the present time fall short in terms of being clear and engaging to learners, plus they do not provide any personalization or adaptation to their learning levels. To solve this problem, we propose CyberCompanion, an innovative solution that provides a complete educational platform to empower employees with the necessary cybersecurity practical knowledge. CyberCompanion uses a generative AI advisor, which serves as a “companion” for the employees whenever they need advice or clarification about anything cybersecurity related. This generative AI cybersecurity advisor is called SIDCA, which is short for Smart Integrated Digital Cybersecurity Advisor, which utilizes advanced Natural Language Processing (NLP) techniques. Additionally, CyberCompanion enhances user engagement by using a personalized course recommendation algorithm, which also ensures every single learning gap is covered. As for the platform itself, we have implemented complete and advanced security measures to ensure employee data is safeguarded from unauthorized access. Such measures include Multi Factor Authentication (MFA) for users when logging in, Transport Security Layer (TLS) for secure communication, and hashing and salting, for password storage security and encryption. CyberCompanion proved to be highly engaging due to the interactive content for the employees, in addition to CyberCompanion having an interface for team leads to track the employees’ performance, to ensure everyone is on track with their cybersecurity awareness leaning path.

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Published

2025-07-16

How to Cite

Al-Rajab, M., AlKhatib, F. M., Hasna, A., AlMarar, G., & Sharif, A. Y. (2025). CyberCompanion: Enhancing Cybersecurity Awareness through AI-Powered Training and Personalized Learning. Journal of Posthumanism, 5(7), 1952–1979. https://doi.org/10.63332/joph.v5i7.2995

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Articles