MIND Data Detection is a data security posture management tool focused on identifying and remediating exposure risks for sensitive data at rest. It classifies sensitive data using organizational context and business meaning, maintaining a catalog of resources, users, authorizations, file activities, and metadata to enforce security policies. Key capabilities include: - Automated detection of sensitive data exposure issues across data at rest - Context-aware classification that incorporates organizational structure and business meaning - Risk severity determination based on complete business context, using a purpose-built language to describe user-data interactions - Automated remediation policy enforcement, with an option to keep a human in the loop for review and approval - Collaboration with users and data owners to resolve exposure issues faster and transparently - Detection of overly permissive access conditions such as "anyone with a link" sharing The tool addresses common data security gaps such as over-exposed sensitive data, reliance on manual labeling, undetected sensitive elements, and unauthorized access via open sharing links. It operates as part of a broader MIND platform that also includes data discovery and classification, and loss prevention for data in motion.