Intelligent machines have revolutionized the logistics and security sectors by sifting through large amounts of real-time data for route optimization, inventory sequencing, and inspection. Technologies such as computer vision and convulsive neural networks are used for automatic and efficient monitoring in airports, ports, and logistics operations. However, barriers such as data availability, financial investments, cybersecurity, and the need for good quality data must be overcome. With investment in technology and the right type of regulation, these developments should be followed by innovations in security and logistics, as they will enable operational cost reductions and operational improvements. The study methods of this article include a literature review and a qualitative analysis, which allows understanding both numerical data and social and human aspects. In addition, the comparative method is used to evaluate different approaches, identifying similarities and differences in the studied topic. It is concluded that the application of artificial intelligence and computer vision in the logistics and security sectors represents an essential advance, capable of modernizing processes, increasing efficiency, and ensuring greater protection, as long as it is accompanied by strategic planning and responsible regulations.