A key element of our ecosystem is the WeSendit node system, in which the transmitted data is broken down into fragments, encrypted and stored on different nodes. To protect the node operators and prevent misuse, each fragment is checked for irregularities using AI. The aim is to find suspicious content in the fragments. If there is any suspicion, the next fragment is retrieved and the process is repeated until the suspicion is confirmed or refuted. The use of a Large Language Model (LLM), which learns from the data transfer in the initial phase, further strengthens data control. With this approach, data can only be distributed to nodes that are authorized to store the fragments, which improves and later even guarantees the security and legality of the stored data.