Data Security and Masking


Data security and privacy concerns challenge organizations to meet different but very critical and complementary issues: Data security governs access to data throughout its lifecycle, whereas data privacy defines that access based on privacy policies and laws—for instance, who views personal, financial, health, or confidential data. Both help organizations improve the control of information access to reduce sensitive data risk, ensure compliance with industry or civil regulations, and implement data security best practices.

The process for securing data includes discovering, identifying, and classifying it, as well as analyzing its risk and protecting and archiving data. Once the type and level of risk have been identified, data stewards can take tactical and strategic steps to ensure data is safe.

Data masking focuses on protecting data from insiders and outsiders.; a must have for enterprise security portfolio.
  • Protect data from unauthorized access
  • Analyze sensitive data risk
  • Protect privacy for test, collaboration, and outsource


Persistent and Dynamic Data Masking protects live data for testing, outsourcing, customer support, analytics, and reporting.

Best practice data masking techniques allows for seamless integration and complements existing security controls like encryption.