Data Masking

Usually used for personally identifiable information, random tokens can be substituted for sensitive data. Privitar data masking supports rich data tokenization capabilities allowing you to take control of linkability, format preservation and reversibility.

Often used with data tokenization, generalization blurs quasi-identifiers replacing sensitive data with less precise values via binning, reformatting, rounding or truncating. Privitar data masking supports both manual and automatic data generalization.

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.

Privitar enables you to generate dates, numbers, text and even credit card numbers. Privitar allows you to define precise format, range and other rules.

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.

Sometimes, you just want a simple, straightforward masking 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.