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Each principle outlines specific requirements that organizations must follow to protect the privacy and rights of individuals. Stop outbound data loss with dynamic, granular encryption policies applied automatically. Proofpoint Data Security Posture Management removes excess privileges and prevents data exposure with one-click remediation controls, reducing manual effort for data security teams. Nexus data lineage visualizes data origin and tracks manipulations across channels to quickly and efficiently investigate potential data loss and insider incidents, and apply controls. Discover, classify and protect sensitive data across cloud and hybrid environments.<\/p>\n<\/p>\n
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It separates data into phases based on different criteria and moves through these stages as it completes different tasks or requirements. The phases of DLM include data creation, data storage, data sharing and usage, data archiving, and data deletion. Data categorization ensures compliance with data regulations by helping you define your privacy policies and establish processes for consent, backup, storage, retention and disposal based on the priority of data. In simple terms, a data privacy strategy is a plan for maintaining the privacy of sensitive data and personal information. Whether it\u2019s the General Data Protection Regulation (GDPR) or the California Consumer Privacy Act (CCPA), these regulations govern how personal data must be managed by your organization.<\/p>\n<\/p>\n