What feature can support the management of keyword lists for matching company information at a large scale?

The correct answer is the use of keyword dictionaries, which are specifically designed for managing lists of keywords that can help match and identify company information across large volumes of data. These dictionaries allow organizations to specify keywords and phrases relevant to their industry or internal compliance needs. By using keyword dictionaries, organizations can automate the process of identifying sensitive or critical information based on predefined words or phrases, streamlining the search and monitoring processes across various data sources.

In practice, keyword dictionaries enable administrators to easily update, manage, and scale keyword lists without extensive coding or technical expertise, making it a scalable solution for information governance and compliance efforts. This feature is essential for ensuring that relevant information is consistently identified and protected across diverse data environments.

Regular expressions, while useful for pattern matching, require a deeper understanding of syntax and may not lend themselves to straightforward management of keyword lists. Data classifications involve labeling information based on its content, and data loss prevention policies focus on preventing data breaches rather than managing keyword matching specifically.