The authors of the article comprehensively investigate a promising direction in the field of security – the integration of multisensor detection systems and artificial intelligence (AI) algorithms into mobile anti-drone systems. The purpose of this study is to analyze modern technologies of multisensor detection of unmanned aerial vehicles (UAV), as well as to develop principles for building a mobile anti-drone system that integrates detection systems and artificial intelligence algorithms. It is argued that effective counteraction in a dynamic environment requires a mobile system with high autonomy and reaction speed. The principles of building a multisensor system combining radar, optoelectronic, and radio-frequency means are considered, which allows overcoming the limitations of each individual sensor through multimodal data fusion. The role of artificial intelligence algorithms in target detection, classification, data fusion, and real-time decision support is analyzed in detail. An architecture for integrating sensors and artificial intelligence into a single mobile platform is proposed, ensuring adaptability and resilience to challenging operating conditions. The paper summarizes key technological trends and forms a holistic vision for building highly effective next-generation mobile means of countering unmanned aerial vehicles (UAV).