Security Considerations

As stated previously, models do not impose any limitations on the code they can run. Additionally, models run with the permissions of the user that creates the model (same as sessions and jobs). Therefore, be conscious of potential data leaks especially when querying underlying data sets to serve predictions.

Cloudera Data Science Workbench models are not public by default. Each model has an access key associated with it. Only users/applications who have this key can make calls to the model. Be careful with who has permission to view this key.

Cloudera Data Science Workbench also prints stderr/stdout logs from models to an output pane in the UI. Make sure you are not writing any sensitive information to these logs.