Data Masking
Privitar’s data masking capabilities extend beyond pseudonymization and tokenization
Data Masking ≄ Pseudonymization and Tokenization
Although often used interchangeably; data masking, pseudonymization and tokenization are different. Although pseudonymization removes direct identifiers, it leaves indirect identifiers untouched, potentially including quasi-identifiers, and therefore is insufficient to de-identify data. Privitar’s masking capabilities extend beyond pseudonymization and tokenization.
Privitar’s Data Masking Capabilities Include
Data Tokenization
Usually used for personally identifiable information, random tokens can be substituted for sensitive data. Privitar supports rich tokenization capabilities allowing you to take control of linkability, format preservation and reversibility.
Data Generalization
Often used with tokenization, data generalization blurs quasi-identifiers replacing sensitive data with less precise values via binning, reformatting, rounding or truncating. Privitar supports manual and automatic data generalization.
Data Encryption
Privitar supports 256-bit encryption. You own the keys; Privitar does not manage the keys. That way they are safe and secure using your standard systems and processes.
Data Generation
Privitar enables you to generate dates, numbers, text and even credit card numbers. Privitar allows you to define precise format, range and other rules.
Data Perturbation
Whether it’s currencies, dates or times, you define the amplitude of the noise for any field in a dataset. Privitar ensures the distribution across the range is uniform so that the original values cannot be determined.
Simple Text Techniques
Sometimes, you just want a simple, straightforward technique to make text safe. Privitar provides support for partially or fully redacting text, as well as substituting text with name-value pairs you define.
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