Organizations have to take several security measures while storing personally identifiable, personally sensitive, or commercially sensitive data, such as credit card numbers, Social Security Numbers, bank account numbers, etc, in the database. Companies often maintain strict security controls when sensitive data is in storage or used in the business. But, suppose some operations are outsourced to third parties, and the company does not have much control over their environment, or because of compliance requirements, the company is unwilling to expose the real data to third parties. Or the company wants to test some applications with real data, but cannot do so because of compliance reasons. In scenarios like that, the company needs to take security measures like Data Masking so that sensitive data remain secure and are not exposed unnecessarily.

Data Masking is a common practice in which real-looking data is used for application development or test cycles, and the sensitive data is not exposed outside.

• What is Data Masking?

• Data Masking Techniques

• Types of Data Masking

  • Static Data Masking

    • What is Static Data Masking?

    • Advantages of Static Data Masking

    • Disadvantages of Static Data Masking

  • Dynamic Data Masking

    • What is Dynamic Data Masking?

    • How is Dynamic Data Masking applied?

    • Advantages of Dynamic Data Masking

    • Disadvantages of Dynamic Data Masking

  • On-The-Fly Data Masking and why do we need that?

• Best Data Masking tools and software available on the market