This article emphasizes the importance of data governance and security in preventing misuse of data, particularly with the increasing use of generative AI and other data products and technologies. Ensuring proper data governance and security relies on capabilities offered by software and platforms constituting an organization's data infrastructure, which are essential for tracking data, limiting access to necessary stakeholders, and maintaining scalability as the organization grows. The principles of data governance include observability, control, and scalability, while those of data security involve preventing unauthorized access to sensitive data through practices such as end-to-end encryption and purging data once it is no longer needed. A secure data infrastructure ensures the safety and integrity of data that feeds AI initiatives, enabling organizations to trust their models and bring them to market with confidence.