Artificial Intelligence Assistants in Digital Learning Environments and Cybersecurity Challenges

Authors

DOI:

https://doi.org/10.31861/sisiot2026.1.01001

Keywords:

AI assistants, digital learning environments, cybersecurity, data encryption, intrusion detection

Abstract

Integration of Artificial Intelligence (AI) Assistants into digital learning environments is becoming an essential part of modern educational processes. The use of AI assistants enables personalized learning that takes into account the individual needs of students, enhances communication efficiency between students and instructors, and automates routine administrative tasks. As a result, students gain access to adaptive learning materials, timely support, and valuable educational resources, significantly improving their learning experience and outcomes. This approach fosters deeper student engagement in the learning process, making education more interactive and convenient for all participants. However, the implementation of AI assistants in educational processes is accompanied by numerous cybersecurity challenges, particularly concerning data privacy protection. The article provides an in-depth examination of the risks associated with using AI technologies in learning environments. It analyzes existing technological and organizational approaches to minimizing these risks. Technological approaches include the use of advanced data encryption methods, multi-factor authentication, intrusion detection and prevention systems (IDS/IPS), and regular security audits. These measures are aimed at enhancing the protection of AI systems from potential cyberattacks and reducing the risk of data compromise. Organizational approaches involve developing security policies for users, conducting training sessions on cyber hygiene, and regularly informing them about current cyber threats. This helps foster a culture of cybersecurity among students and educators, reducing the likelihood of successful social engineering attacks. The article emphasizes the need for developing comprehensive cybersecurity strategies that consider the specific operations of AI assistants. Implementing such strategies is critically important for creating a secure digital learning environment where AI technologies are used. The proposed approaches can serve as a foundation for developing effective data protection strategies and promoting the safe integration of innovative technologies into digital learning environments.

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Author Biographies

  • Inna Rozlomii, Cherkasy State Technological University

    PhD in Information Technologies, Docent, Associate Professor Department of Information Security and Computer Engineering, Cherkasy State Technological University. Research interests: Internet of Things, lightweight cryptography, cyber-physical systems. Author of more than 150 publications.

  • Andrii Yarmilko, Bohdan Khmelnytsky National University of Cherkasy

    PhD in Information Technologies, Docent, Associate Professor at Department of Automated Systems Software, Bohdan Khmelnytsky National University of Cherkasy. Research interests: computer vision and pattern recognition, industrial internet of things, human-machine interaction, information security and dependability of embedded systems. Author of more than 120 publications.

  • Serhii Naumenko, Bohdan Khmelnytsky National University of Cherkasy

    PhD Student at Department of Information Technology, Bohdan Khmelnytsky National University of Cherkasy. Research interests: Internet of Things, lightweight cryptography, cyber-physical systems. Author of more than 70 publications.

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Published

2026-06-30

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Articles

How to Cite

[1]
I. Rozlomii, A. Yarmilko, and S. Naumenko, “Artificial Intelligence Assistants in Digital Learning Environments and Cybersecurity Challenges”, SISIOT, vol. 4, no. 1, p. 01001, Jun. 2026, doi: 10.31861/sisiot2026.1.01001.

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