PK Classification is a comprehensive data classification solution designed to help organizations identify, categorize, and secure sensitive information based on predefined or custom policies. By systematically labeling data according to its sensitivity and importance, PK Classification enhances data security, simplifies compliance efforts, and increases user awareness of security policies. Key Features and Functionality: - Customizable Policy Builder: Allows organizations to create classification policies tailored to complex scenarios or basic frameworks, including predefined sensitive data types like credit card numbers and Social Security Numbers. - Visible Classification: Automatically applies visual tags to data as it is created, shared, or stored, extending policy adoption to partners, vendors, and other stakeholders. - File Categorization: Automatically assigns tags to files using business-level terms such as "confidential," "public," and "restricted," facilitating easier data management and protection. - Purpose-Built Integrations: Integrates with existing classification solutions like Microsoft, Titus, and Bolden James, enabling discovery and protection of data tagged by these systems. - Data Reporting: Provides insights into the types and locations of data within the organization, aiding in effective data management and security. - Persistent Classification: Ensures continuous privacy by integrating with access control systems, maintaining data classification across its lifecycle. Primary Value and Problem Solved: PK Classification addresses the critical need for organizations to manage and protect sensitive data effectively. By automating the classification process, it reduces the risk of data breaches, ensures compliance with regulatory requirements, and enhances overall data security posture. The solution's integration capabilities and customizable policies provide flexibility to adapt to various organizational needs, ensuring that sensitive information is consistently identified and safeguarded across all environments.