This paper dwells upon network for continuous cargo condition surveillance during the flight. Advanced IoT sensor network for continuous cargo condition surveillance during the flight addresses flight data and cargo surveillance by Airlines. The core objective of this is the automated processing of flight information dispatched from the aircraft in real-time (24/7/365) for the purpose to enhance airborne safety, and exchange of information between the aircraft crew for operational purposes and ground personnel to improve the performance and financial success of freight transportation of Airlines. For this purpose, an onboard interaction link of short burst data (SBD) from the aircraft and circuit switched data (CSD) a communication link to the plane is set up alongside the available use of satellite navigation system (GPS). As part of the Horizon Europe project, tools aimed at enhancing the security of an air cargo monitoring system will be developed. These tools will leverage onboard indicators, information traffic analysis, and anomaly detection to improve system security. AI-based tools created by consortium specialists will aid in detecting abnormal behaviour of aircraft units, anomalous network activity.