This article examines the potential of artificial intelligence (AI) in the early detection and targeted prevention of violence against children, with particular emphasis on the application of digital technologies in community-based crime prevention. It explores the legal, organizational, and technological foundations for identifying factors that may increase the risk of violence against children and developing preventive interventions based on timely data analysis. Particular attention is paid to the concept and practical application of the "Mahalla Criminogenic Risk Profile" platform as an innovative digital tool for assessing criminogenic risks at the local community level. The study considers how AI-based analytical mechanisms can process relevant information, identify potential risk indicators, detect emerging patterns, and support the development of targeted preventive measures by authorized institutions. It also highlights the importance of interagency cooperation among law enforcement bodies, social protection institutions, educational establishments, and local self-government bodies in ensuring the effective protection of children. Furthermore, the article addresses key challenges associated with the use of AI, including personal data protection, confidentiality, algorithmic bias, transparency, and the prevention of unjustified profiling. The study argues that AI should serve as a decision-support mechanism rather than replace professional assessment and human judgment. The proposed approach contributes to strengthening early intervention mechanisms, improving the effectiveness of child protection policies, and developing a proactive, data-driven system for preventing violence against children.