Quantitative data protection

Quantitative data protection involves using measurable methods to secure and manage sensitive information. It focuses on applying specific, data-driven techniques—like encryption, access controls, and statistical analyses—to prevent unauthorized access, detection of breaches, and maintain data integrity. This approach ensures that the protection measures are effective, consistent, and can be evaluated through quantifiable metrics, helping organizations assess risks, compliance, and the overall strength of their data security strategies.