The process used to ensure data integrity in databases is known as data validation. This involves checking that data is accurate, consistent, and reliable throughout its lifecycle. By implementing validation rules, constraints, and relationships between data fields, organizations can minimize errors and improve data quality. Techniques such as checksums and auditing are also employed to monitor and maintain the integrity of data over time, ensuring that users can trust the information stored in databases.