Transforming data at the field level is an important option when securing PII and PHI. Technical professionals must select the appropriate architecture options to properly protect secrecy and privacy and to fit with their application and data assets.
- Data Field Secrecy, Privacy and Utility
- Data Deidentification Architecture Choices
- Static Data Masking
- Dynamic Data Masking
- Tokenization and Format-Preserving Encryption
- Design With Deidentification Limits in Mind
- Choose the Right Fields and Techniques to Protect Them
- Choose the Appropriate Architecture Options
- Examine the Use of Data Subsetting to Limit Exposure
- Complement Deidentification With Other Field-Level Controls
- Information Secrecy and Privacy Protection
- Risk and Regulatory Requirements
- Data Utility Requirements
- The Science of or Reidentifying Data
- Attacks on Secrecy
- Attacks on Privacy
- Deidentification Technique Choices
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