Abstract
In the context of accelerated digitalization and the expansion of the use of artificial intelligence (hereinafter – AI) in critical sectors, the importance of forming effective AI management models focused on ensuring the sustainability of national security is increasing. The purpose of this study is to analyze the risk-based approach to artificial intelligence management in Singapore and assess its contribution to strengthening national security resilience in the period 2020-2025. The methodological basis of the study was a qualitative analysis of regulatory and strategic documents, comparative institutional analysis, as well as thematic coding of AI management tools from the perspective of riskbased regulation theory. The results of the study show that Singapore's AI management model is based on a combination of "soft" regulation, technical verification, and intersectoral collaboration, which minimizes the risks associated with cyber threats, vulnerability of critical infrastructure, and reduced public trust, without limiting innovation activity. In 2023-2024, the level of AI adoption among small and medium—sized enterprises increased by more than three times, and among large companies - by more than 18 percentage points. The share of employees using AI tools in their professional activities has reached almost 74%, which indicates the deep integration of AI into socio-economic processes. The practical significance of the work lies in the possibility of adapting the Singapore model in the development of national AI management systems in countries with a high degree of digitalization, including Kazakhstan.