Comparison of Use Cases for Data Identifiers and Classifications

This document is a technical report that compares the supported use cases for Data Identifiers and Classifications, specifically focusing on various match conditions. It outlines the implementation of different use cases, detailing how Data Identifiers and Classifications can utilize regular expressions, proximity matches, keyword lists, file names, file sizes, true file types, document properties, and file encryption types. The report presents a structured comparison of these use cases, including the ability to match on built-in and custom regular expressions, apply validation algorithms, and set thresholds for matches. Additionally, it describes the capability to build complex matching rules by combining different patterns and keywords using logical operators. The document serves as a resource for understanding the functionalities and limitations of both Data Identifiers and Classifications in data loss prevention policies.