Gartner Research

Building an Effective DLP Program


Data loss prevention programs are made challenging by the numerous use cases and DLP options available in the data security market. But DLP technology is only one of many factors involved. Security and risk management technical professionals must address all of these to achieve DLP success.

Published: 07 August 2019

ID: G00388932

Analyst(s): Mike Wonham

Table Of Contents


  • Introduction
  • The Data Life Cycle and DLP
    • State 1: Controlled Data
    • State 2: Unstructured Data
    • State 3: Uncontrolled Data
    • The Sensitive Data Types
  • Perimeter DLP: A Barrier to Success
  • DLP: A Definition and Explanation
    • Discover Data
    • Evaluate Content
    • Link Data to Context for Best Benefit
    • DLP Architectures and Options
    • Many Vendors, Many Consoles
    • DLP Use Cases
    • Identifying Different DLP Architecture Choices
    • Comments on DLP-Capable Platforms
  • Dependencies: Increasing DLP Effectiveness
    • Data Security Governance
    • Classification Labelling and Tagging
    • Encryption
    • Identity Management
    • Access Management
    • Network Architecture
  • Strengths
  • Weaknesses


  • Scope the Program
  • Start Awareness, Cultural and Governance Activities
  • Design the Initial Architecture
  • Start to Address Dependencies
  • Deploy, Operate and Evolve

The Details

  • Defining DLP Policies
    • Define the Sensitive Data
    • Define the Context for the Use Case
    • Define the Action to Be Taken by the DLP System
  • DLP Operating Model

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