Maritime environment is experiencing a growing activity, which has led to the use of new services for localization of vessels such as the Automatic Identification System (AIS), which allows real-time surveillance of maritime traffic and provides aids to navigation. Recent works have shown that falsification of AIS messages was possible, and therefore could lead to illegals actions and new maritime risks. This way, some ships have been hijacked without the knowledge of their crew or surveillance centers. DéAIS project proposes a methodological approach for modelling, analysing and detecting these new maritime risks. The objective is to detect when if ship’s AIS reports have been falsified (or spoofed). For this purpose, real-time AIS information is analysed and compared to historical, expected or predicted information. This problem will be undertaken by an academic partner, leader in risk management and maritime mobility, which have already been part of many projects in this domain.