Data Loss Prevention

Data Loss Prevention (DLP) is a cybersecurity strategy that employs a set of tools and processes to ensure that sensitive or critical information is not lost, misused, or accessed by unauthorized users. DLP solutions work by identifying, monitoring, and protecting data in three states: in use on endpoints, in motion across the network, and at rest in data storage. By enforcing granular security policies, these systems can detect potential data breaches or exfiltration attempts and automatically respond by blocking the action, encrypting the data, or alerting administrators, thereby helping organizations protect intellectual property and comply with data privacy regulations.

  1. Foundations of Data Loss Prevention
    1. Definition and Purpose of DLP
      1. Core Goals and Objectives
        1. Protecting Sensitive Data
          1. Preventing Data Breaches
            1. Preventing Data Exfiltration
              1. Achieving Regulatory Compliance
                1. Safeguarding Intellectual Property
                  1. Gaining Data Usage Visibility
                    1. Supporting Data Governance
                    2. Key Concepts and Terminology
                      1. Data Exfiltration
                        1. Data Leakage
                          1. Policy Violation
                            1. Security Incident
                              1. False Positive
                                1. False Negative
                                  1. Data Owner
                                    1. Data Steward
                                      1. Data Subject
                                      2. Types of Sensitive Data
                                        1. Personally Identifiable Information
                                          1. Protected Health Information
                                            1. Payment Card Information
                                              1. Intellectual Property
                                                1. Confidential Business Information
                                                  1. Financial Records
                                                  2. The Three States of Data
                                                    1. Data in Use
                                                      1. Definition and Characteristics
                                                        1. Common Examples
                                                          1. Associated Risks
                                                            1. Protection Challenges
                                                            2. Data in Motion
                                                              1. Definition and Characteristics
                                                                1. Common Examples
                                                                  1. Associated Risks
                                                                    1. Protection Challenges
                                                                    2. Data at Rest
                                                                      1. Definition and Characteristics
                                                                        1. Common Examples
                                                                          1. Associated Risks
                                                                            1. Protection Challenges