In the context of Machine Learning (ML) pipeline automation, a team is working on a project that requires high scalability, compliance with data privacy regulations, and minimal manual intervention. The project involves multiple stages from data ingestion to model deployment. Considering these constraints, what is the primary purpose of implementing automated testing and validation in the ML pipeline? Choose the best option.