A financial services company operates in a hybrid cloud environment and has deployed a machine learning model on premises to provide personalized financial recommendations. The model processes data stored in Amazon S3, which includes sensitive customer information such as Social Security numbers and financial transaction details. The company must ensure that all sensitive data is identified and removed before it is processed by the model. The company needs to implement a solution that can handle these requirements with the least operational overhead. Which solution will meet these requirements?