Assessment of the Applications of Artificial Intelligence in Predictive Models for Maritime Piracy Protection

Maritime piracy poses a significant threat to global transportation, particularly in high-risk regions such as the Gulf of Aden, the Strait of Malacca, and the Gulf of Guinea. This article examines the role of artificial intelligence (AI) in enhancing maritime security by analyzing currently used predictive models for detecting and preventing piracy attacks. The application of AI-based systems, integrating data from the AIS system, satellites, and radars, enables early threat detection and risk assessment. The paper discusses projects such as IPATCH, PROMENADE, and BLUE DOME, which use machine learning, real-time data analysis, and automated decision-making systems to improve piracy protection. Challenges related to data quality and evolving pirate strategies are identified. The future of AI in piracy protection relies on innovations such as deep learning, integration with 5G, and pattern recognition, which will enhance the effectiveness of predictive systems.