What type of discovery is used when responding to a mandate with a specific purpose?

Label-based discovery is specifically designed for contexts where there is a mandate or requirement to uncover data that meets certain criteria or classifications. In environments where data privacy and compliance are critical, label-based discovery allows organizations to identify information that has been tagged or categorized according to its sensitivity or relevance to specific regulations.

For example, if an organization must comply with data protection regulations, such as GDPR or HIPAA, label-based discovery enables them to find and handle data that is marked with relevant labels indicating its compliance status or confidentiality level. This focused approach is efficient because it does not require analyzing all the content of every data piece but rather targets specific categories, making it suited for responding to mandates with specific purposes.

In contrast, metadata-based discovery focuses on the metadata associated with files and information rather than the content or classification. Content-based discovery involves searching through the actual content of data for specific information, which can be broader and more resource-intensive. Data analytics discovery refers to using advanced analytical techniques to derive insights from data, which may not directly align with the specific intent of a targeted mandate. Therefore, the effectiveness and efficiency of label-based discovery make it the appropriate choice for this type of requirement.