Data loss Prevention (DLP) refers to strategies and technologies that organizations employ to ensure that sensitive data is not lost, misused, or accessed by unauthorized users. DLP aims to protect information from potential breaches and leaks, contributing to the overall security framework of an organization. ### Key Components of Data Loss Prevention: 1. **Identification and Classification**: - **Data Discovery**: Identifying and locating sensitive information across the organization’s data stores. - **Classification**: Labeling data based on its sensitivity and the level of protection it necessitates (e.g., personal data, financial information). 2. **Policies and Enforcement**: - **DLP Policies**: Establishing rules and processes that dictate how sensitive data is handled, shared, and stored. - **Policy Enforcement**: Implementing controls to ensure that these policies are adhered to, including alerts, blocks, or logs for policy violations. 3. **Monitoring and Protectio...
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