The present invention relates to a method for securing a system being configured to perform decision tasks carried out by a machine learning engine, equipped for operating with at least one machine learning model, the system comprising at least one training component for improving the at least one machine learning model, a device for carrying out decisions based on said machine learning model and a set of input data, and an interaction interface for exchanging said at least one machine learning model between training component and device, wherein the device comprises a model attestation checker, the method comprising the steps of: for the device: -acquiring input data, -ascertaining at least one machine learning model over the interaction interface, for the model attestation checker: -checking if said at least one machine learning model is trusted by a model attestation, -considering by the machine learning engine for said decision making only those machine learning models that are trusted, for the machine learning engine: -carrying out the decision task for acquired input data by using said at least one trusted machine learning model, -providing a result attestation for the decision output.