<p>This study introduces a multidimensional dynamic prevention and control framework based on situational awareness to address the complexity, concealment, and cross-border nature of emerging economic crimes in the digital era. The concepts and technological dependencies of these crimes are examined, highlighting the challenges they pose to traditional prevention systems. A situational awareness model is developed, encompassing four dimensions: environmental perception, behavior prediction, decision support, and response operation. Central to the model is the “perceive-understand-predict-respond” cycle, which facilitates dynamic monitoring and early warning of criminal activities throughout their lifecycle. The model’s applicability is demonstrated through the analysis of the PlusToken cryptocurrency scam. Results indicate that the model significantly improves the identification of cross-border crimes, risk prediction, and collaborative governance. It enhances the resilience and intelligence of prevention systems and fosters information integration and interdepartmental collaboration. This framework provides a robust theoretical and practical foundation for developing scientific approaches to prevent emerging economic crimes.</p>