Which method allows users to ensure compliance with data classification in SQL databases?

Implementing row-level security policies is an effective method for ensuring compliance with data classification in SQL databases. This approach allows for the segmentation of data access based on user roles and characteristics. By enforcing restrictions on which rows of data a user can access, organizations can ensure that sensitive information is only available to authorized users, thus maintaining compliance with data privacy regulations and internal policies.

Row-level security helps in classifying and managing data accessibility according to the classification standards set by an organization, such as restricting access to personally identifiable information (PII) or financial records to only those personnel who require it. This layered approach not only enhances data security but also aligns with compliance requirements related to data protection and privacy.

The other methods mentioned, while they may contribute to overall security and management of databases, do not directly address compliance with data classification in the same manner. For example, reporting tools help in analyzing data but do not restrict access; backup encryption secures data during storage but doesn't control who can see it while it's in use; and firewall rules manage network access rather than individual data access rights within the database.