Data de-identification tools are designed to remove potentially identifiable information from datasets. These tools can be used to ensure that data is anonymized and compliant with data privacy regulations, such as GDPR. Data de-identification methods typically involve techniques like suppressing or masking of certain pieces of data. Other methods like pseudonymization, tokenization, and randomization may also be used in order to completely obfuscate the original data while still allowing analysis of the remaining dataset. Furthermore, some advanced data de-identification software includes additional features for monitoring access and preventing unauthorized use of sensitive personal information. In summary, data de-identification tools provide organizations with ways to ensure compliance by removing personally identifiable information from their datasets before sharing or publishing them publicly. Compare and read user reviews of the best Data De-Identification tools currently available using the table below. This list is updated regularly.
Databunker
Auric Systems International
Immuta
Wizuda
Privacy1
Salesforce
babelfor.NET
STRM
Protegrity
AvePoint
Very Good Security
PHEMI Systems
Informatica
Titaniam
Enigma Vault
Trūata
Randtronics
LeapYear Technologies
Aircloak
Precisely
Privitar
Privacy Analytics
Anonos
GrowthDot
Bluefin
Viacryp
Precisely
NMTY
NavInfo