Which feature helps in automatically classifying documents in Microsoft Information Protection?

Automatic classification rules are a critical feature in Microsoft Information Protection that streamline the process of managing data security and compliance. These rules use predefined criteria, such as keywords, sensitive information types, or patterns, to automatically identify and classify documents without manual intervention. This not only saves time but also helps maintain consistent application of policies across an organization.

When documents are created or modified, the system evaluates them against these classification rules. If a document matches the criteria outlined in the rules, it will be automatically assigned a classification label, which can denote sensitivity levels, retention policies, or other relevant information. This automated approach not only enhances efficiency but also reduces the risk of human error, ensuring that sensitive information is adequately protected in accordance with organizational policies and regulatory requirements.

In contrast, data encryption primarily focuses on protecting data through cryptographic methods rather than classification. Manual tagging requires user involvement to label documents, making it less efficient and more prone to inconsistencies. Remote access protocols do not relate to document classification directly; instead, they pertain to how users access data from different locations, which is separate from the classification process. Thus, automatic classification rules stand out as the most effective means to classify documents systematically within Microsoft Information Protection.