The increasing integration of data-driven technologies and Artificial Intelligence (AI) into defense and security systems offers both transformative opportunities and significant challenges. This paper examines how data management intersects with the General Data Protection Regulation, privacy concerns, and human-centered AI in the context of defense and security systems. AI-driven systems utilize large volumes of data for various purposes, including decision-making, surveillance, threat detection, and autonomous operations. While these technologies can enhance effectiveness and provide strategic advantages, they also raise critical issues related to data security, privacy violations, and the potential for biased or unethical outcomes. A human-centered approach to AI emphasizes the importance of transparency, accountability, and ethical alignment in these systems. This approach aims to ensure that technologies operate within legal and moral boundaries, minimizing the risk of unintended harm.

This article explores the delicate balance between technological advancements and ethical considerations, proposing frameworks to protect privacy and uphold human rights while maximizing the operational benefits of AI in defense and security.