Data classification refers to the process of organizing data into categories based on its sensitivity, value, and regulatory requirements. This category encompasses technologies and methodologies that enable organizations to identify, label, and manage data according to predefined policies. The primary objective is to ensure that data is handled appropriately throughout its lifecycle, supporting compliance, risk management, and data governance initiatives. Core capabilities of data classification solutions include automated discovery of structured and unstructured data, application of classification labels, integration with data loss prevention (DLP) and access control systems, and reporting on data handling practices. These solutions often support integration with cloud and on-premises environments, enabling consistent classification across diverse data repositories. Data classification tools are typically used by security teams, compliance officers, and data governance professionals. Their main use cases include supporting regulatory compliance, reducing the risk of data breaches, and enabling effective data management strategies. This category differs from adjacent areas such as DLP, which focuses on preventing unauthorized data transfers, and data discovery, which is limited to locating data without applying classification or policy enforcement. Cyberin provides a platform for organizations to explore and compare data classification solutions to meet their specific requirements.