The correct answer is Data classification. This requirement is specifically about assigning sensitivity labels to information and evaluating the potential consequences if that stored information is compromised or exposed.

The classification process organizes information into categories such as public, internal, confidential, and regulated. Those categories guide handling requirements like access controls, encryption, retention, and monitoring and they are used to assess the impact to confidentiality, integrity, and availability if data is lost or exposed.

Cloud Data Loss Prevention is a set of tools and techniques for discovering, scanning, and protecting sensitive data in repositories and in motion. It focuses on detection and mitigation rather than on assigning sensitivity levels or formally evaluating impact, so it does not match the described requirement.

Data ownership refers to who is responsible and accountable for a data asset and for decisions about its use. Ownership is about roles and accountability and it does not itself define sensitivity labels or perform consequence assessments.

Data anonymization is a technique to remove or obfuscate identifiers so that personal data cannot be linked to an individual. It is a privacy protection measure and not the process of labeling data by sensitivity or evaluating potential consequences for stored information.

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