AI Use by Ukrainian Law Enforcement in Combating Crime at Critical Infrastructure Facilities

Introduction: The use of artificial intelligence by law enforcement agencies has been one of the most pivotal tools in recent years concerning criminal offenses, particularly those affecting critical infrastructure facilities. This study bridges a critical gap in the existing academic literature that has often overlooked local challenges and unique features faced by Ukrainian law enforcement agencies. It focuses mainly on evaluating the introduction and integration process of an artificial intelligence system in reducing crimes and improving their threat response activities at crucial infrastructure points across Ukraine. The combination of such methodologies involves qualitative interviewing, including top-ranking representatives; analysis of performance reports with the involvement of AI; and case in-depth studies including AI-related practice. Results have pointed out that AI significantly enhances the real-time threat monitoring capability of Ukrainian law enforcement, advanced detection, and predictive analytics.This progress contributed to a significant reduction in criminal incidents at critical infrastructure facilities and allowed for more effective use of resources, quicker response times, and better operational coordination. The same study identified challenges, including data privacy concerns, regulatory gaps, and the pressing need for advanced training programs that would meet the current AI needs. The study's conclusions emphasize the innovative nature of AI integration within Ukraine’s law enforcement framework, offering actionable recommendations for addressing existing challenges. Its novelty lies in providing a focused analysis of AI's practical applications in a Ukrainian context. Future research should explore cross-country comparisons, ethical implications, and the long-term impact of AI on legal systems and operational efficiency, contributing to broader discussions on technology-driven law enforcement strategies