13Ara
How to ensure privacy of my codebase while keeping data on client premises?
I have created a data science model pipeline in Python which ingests some data (user transactions) and then runs some models to generate a report. The models that I have created are proprietary and so far I have only been working on a sample of the client's data.
The client is a financial institution and due to regulations, must keep all data on their "premises". Similarly, I want to keep my code proprietary.
What is the most common method to satisfy both of these requirements in terms of privacy (of my codebase) and security (of the client's data)? What would be the most cost efficient and easiest to implement?
