The advancement of artificial intelligence (AI) has significantly impacted digital communication, including the creation and dissemination of disinformation. Technologies such as deepfakes, chatbots powered by natural language processing (NLP), and generative algorithms enable the production of false information that is challenging to distinguish from reality, posing a threat to information security and global stability. In the defense context, AI-driven disinformation can be weaponized in information warfare, undermining public trust, creating social disorientation, and weakening national security strategies. This study examines how AI is utilized to spread disinformation and its implications for defense strategies. Through case studies and literature analysis, the research highlights the urgent need for robust mitigation measures, including the development of AI-based detection technologies, the enhancement of digital literacy, and global collaboration in regulating the use of AI. The findings offer insights into the strategic threats posed by AI to defense systems, while providing recommendations to strengthen resilience against AI-driven disinformation attacks.

Azam, A. (2021). Role Of Artificial Intelligence In Defence Strategy: Implications For Global And

National Security. Strategic Studies. Https://Doi.Org/10.53532/Ss.041.01.0058.

Benzie, A., & Montasari, R. (2022). Artificial Intelligence And The Spread Of Mis-And

Disinformation. In Artificial Intelligence And National Security (Pp. 1-18). Cham: Springer

International Publishing.

Burton, J., & Soare, S. (2019). Understanding The Strategic Implications Of The Weaponization Of

Artificial Intelligence. 2019 11th International Conference On Cyber Conflict (Cycon), 900, 1-

Https://Doi.Org/10.23919/CYCON.2019.8756866.

Cai, C., & Zhang, L. (2024). Escaping The Trap: Adapting The U.S.-China Arms Race To The

Dynamics Of Artificial Intelligence. North South Journal Of Peace And Global Studies.

Https://Doi.Org/10.47126/Nsjpgs.V2i1.02.

Deepak, P. (2023). AI And Fake News: Unpacking The Relationships Within The Media Ecosystem.

Communication & Journalism Research, 12(1), 15-32.

Elhoussainy, H. A. (2024). The Role Of Artificial Intelligence Techniques In Spreading Rumors And

Fake News, And Their Effect On National Security, 2024(30), 1-59.

Gaire, U. (2023). Application Of Artificial Intelligence In The Military: An Overview. Unity Journal.

Https://Doi.Org/10.3126/Unityj.V4i01.52237.

Hasimi, L., & Poniszewska-Marańda, A. (2024). Detection Of Disinformation And Content Filtering

Using Machine Learning: Implications To Human Rights And Freedom Of

Jain, R. (2023). Detection And Provenance: A Solution To Deepfakes?. Journal Of Student Research.

Https://Doi.Org/10.47611/Jsrhs.V12i3.5122.

Kaczmarek, K., Karpiuk, M., & Melchior, C. (2024). Disinformation As A Threat To State Security.

Przegląd Nauk O Obronności, 9(20), 45-54.

Karaş, Z. (2024). Effects Of AI-Generated Misinformation And Disinformation On The Economy.

Düzce Üniversitesi Bilim Ve Teknoloji Dergisi.

Karinshak, E., & Jin, Y. (2023). AI-Driven Disinformation: A Framework For Organizational

Preparation And Response. Journal Of Communication Management.

Https://Doi.Org/10.1108/Jcom-09-2022-0113.

Karthikeyan, S. (2024). Rising Threat Of AI-Driven Cybersecurity Attacks: Implications For National

Security. International Journal For Research In Applied Science And Engineering Technology.

Https://Doi.Org/10.22214/Ijraset.2024.64042.

Kertysova, K. (2018). Artificial Intelligence And Disinformation. Security And Human Rights.

Https://Doi.Org/10.1163/18750230-02901005.

Kozik, R., Pawlicka, A., Pawlicki, M., Choraś, M., Mazurczyk, W., & Cabaj, K. (2024). A Meta-

Analysis Of State-Of-The-Art Automated Fake News Detection Methods. IEEE Transactions

On Computational Social Systems, 11, 5219-5229.

Https://Doi.Org/10.1109/TCSS.2023.3296627.

Kumar, A., & Taylor, J. W. (2024). Feature Importance In The Age Of Explainable AI: Case Study

Of Detecting Fake News & Misinformation Via A Multi-Modal Framework. European Journal

Of Operational Research, 317(2), 401-413.

Lai, C., & Guo, Y. (2024). Tracking Of Disinformation Sources: Examining Pages And Urls. IEEE

Transactions On Computational Social Systems, 11, 6242-6253.

Https://Doi.Org/10.1109/TCSS.2024.3391626.

Landon-Murray, M., Mujkic, E., & Nussbaum, B. (2019). Disinformation In Contemporary U.S.

Foreign Policy: Impacts And Ethics In An Era Of Fake News, Social Media, And Artificial

Intelligence. Public Integrity, 21, 512 - 522.

Https://Doi.Org/10.1080/10999922.2019.1613832.

Nasiri, S., & Hashemzadeh, A. (2025). The Evolution Of Disinformation From Fake News

Propaganda To AI-Driven Narratives As Deepfake. Journal Of Cyberspace Studies, 9(1), 229-

Nazar, S., & Bustam, M. R. (2020, July). Artificial Intelligence And New Level Of Fake News. In

IOP Conference Series: Materials Science And Engineering (Vol. 879, No. 1, P. 012006). IOP

Publishing.

Okolo, C. (2024). African Democracy In The Era Of Generative Disinformation: Challenges And

Countermeasures Against AI-Generated Propaganda. Arxiv, Abs/2407.07695.

Https://Doi.Org/10.48550/Arxiv.2407.07695.

Paredes, D. (2023). Strategies Based On Artificial Intelligence For The Detection Of Fake News.

AWARI. Https://Doi.Org/10.47909/Awari.58.

Radovanović, M., Petrovski, A., Behlić, A., Chaari, M. Z., Hashimov, E., & Fellner, R. (2024).

Unleashing Autonomous Forces: Integrating AI-Driven Drones In Modern Military Strategy.

Системи Управління, Навігації Та Зв’язку.

Santos, F. (2023). Artificial Intelligence In Automated Detection Of Disinformation: A Thematic

Analysis. Journalism And Media. Https://Doi.Org/10.3390/Journalmedia4020043.

Shoaib, M., Wang, Z., Ahvanooey, M., & Zhao, J. (2023). Deepfakes, Misinformation, And

Disinformation In The Era Of Frontier AI, Generative AI, And Large AI Models. Arxiv,

Abs/2311.17394. Https://Doi.Org/10.48550/Arxiv.2311.17394.

Vysotska, V. (2024). Information Technology For Recognizing Propaganda, Fakes And

Disinformation In Textual Content Based On Nlp And Machine Learning Methods. Radio

Electronics, Computer Science, Control. Https://Doi.Org/10.15588/1607-3274-2024-2-13.