RISKS AND MITIGATION MEASURES IN THE INTEGRATION OF ARTIFICIAL INTELLIGENCE INTO THE COMMAND CHAINS OF THE ARMED FORCES

Authors

DOI:

https://doi.org/10.68302/std2026.vol1.60

Keywords:

artificial intelligence, command and control, cybersecurity, risk management

Abstract

This paper examines the key risks associated with the integration of Artificial Intelligence (AI) and Machine Learning (ML) systems into military command chains. The analysis covers the main components of the decision-making process, including data, algorithms and models, software and system integration, communication infrastructure, and the human factor. The study emphasises that while AI offers significant advantages in accelerating analysis, enhancing situational awareness, and supporting operational planning, its deployment also introduces new vulnerabilities. These include risks related to low-quality or manipulated data, malicious model modifications, software dependency vulnerabilities, reliance on communication networks, and excessive trust in automated recommendations.

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References

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Published

17.09.2026

Issue

Vol. 1 (2026): Proceedings of the International Conference on Secure Systems Design and Technology Development.

Section

DEFENSE AND SECURITY TECHNOLOGY

License

Copyright (c) 2026 Emil Ivanov

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
E. Ivanov, “RISKS AND MITIGATION MEASURES IN THE INTEGRATION OF ARTIFICIAL INTELLIGENCE INTO THE COMMAND CHAINS OF THE ARMED FORCES”, SysTechDev, vol. 1, pp. 223–228, Sep. 2026, doi: 10.68302/std2026.vol1.60.