Cloud, Security and Technology

Last month I finished a project with the Azure team that involved building a secure PaaS based solution that provides a step by step guidance and automation to allow researcher to be able to use Machine Learning to run scientific experiment securely. Key thing here is that it's built to be /Secure/ Problem Most times when a traditional experiments are run, an experimenter or researcher starts with a data set they got their hands on, and uses tools such as Jupyter notebook to create an R or Python based experiment. Frequently this experiment is using a simple data science VM or a workstation. The scientist will then run the experiment (which maybe computationally intense) and turn to a cloud solutions to score the experiment in Google or Azure, and finally run Tableau or PowerBI or Excel for visualization. Since researchers are not security experts and do not think that what they are working on should consider their work as possibly sensitive they may expose their work