Data Discovery and Classification is the process of identifying and categorizing sensitive or valuable data within an organization. The goal of data discovery and classification is to understand what data is stored, where it is located, who has access to it, and how it is being used. Data discovery and classification can be achieved through a combination of manual processes, such as data inventory and mapping, and automated tools that scan and categorize data based on predefined rules and policies. The results of data discovery and classification can inform an organization’s data management and protection strategies.