You have developed a deep learning-based image classification model using on-premises data and plan to deploy it to production using Vertex AI. However, due to security policies, you cannot migrate your data to the cloud. You are concerned that the input data distribution might change over time, which could impact the model's performance. How can you detect such performance changes in production effectively using Vertex AI?