Training processes for anomaly detection algorithms will run on physical or virtual servers deployed by the customer. Both the training data and the resulting model will remain within the customer or partner environment.
Training data is exclusively dedicated to fulfilling detection or forecasting requirements for each customer or partner. There will be no cross-pollination of data, model sharing or reuse of models between customers or partners.