Enhancing maritime infrastructure security through AI-driven naval drone operations in the Southern Baltic Sea
[ 1 ] Wydział Wojskowy, Akademia Sztuki Wojennej | [ P ] employee
2025
Journal year: 2025 | Journal volume: Online first
scientific article
english
EN This study aims to explore the potential of artificial intelligence (AI)-supported drone operations as a proactive response to increasing maritime threats, particularly in the southern Baltic Sea, and to analyse the applicability of autonomous systems in protecting ports, offshore platforms, subsea cables, and pipelines under conditions of spatial congestion and geopolitical risk. This study adopts a qualitative analytical approach, grounded in the review of relevant literature, official reports, and statistical data from a variety of international and academic sources. The research process involves the analysis of existing materials to identify key patterns and trends related to maritime infrastructure and security in the southern Baltic Sea. Through inference, the study aims to draw reasoned conclusions from available data, particularly where direct evidence was limited due to the emerging nature of the subject matter. AI-enhanced naval drones can significantly improve the monitoring and protection of maritime infrastructure through continuous, real-time, and autonomous operations. The deployment of such systems enables faster threat detection and decision-making, thereby enhancing the resilience of critical assets, such as wind farms, subsea cables, and ports. Overall, this information should contribute to national defence and stability. In the face of rapid transformation in the southern Baltic Sea, driven by increasing maritime traffic, energy demands, and offshore development, the integration of AI and autonomous systems into maritime operations is essential in order to ensure effective spatial and security management. Unmanned vehicles, supported by AI, will become a cornerstone of maritime defence, enabling constant surveillance and rapid response to evolving hybrid threats.
23.12.2025
1 - 19
Bibliografia, netografia na stronach 16-19.
Akademia Sztuki Wojennej
CC BY (attribution alone)
open journal
final published version
31.12.2025
at the time of publication
public
70