Data masking postgresql How to unmask a role. Simply remove the security label like this: SECURITY LABEL FOR anon ON ROLE bob IS NULL; Legacy Dynamic Masking The idea of Faking is to replace sensitive data with random-but-plausible values. For instance, you can mask a column having a UNIQUE constraint with the value NULL. In that case, you can easily speed up the anonymization by downsizing the volume of data. The principle of static masking is to update all lines of all tables containing at least one masked column. The PostgreSQL Anonymizer docker image contains a specific entrypoint script called /dump. The project has a declarative approach of anonymization. Solutions It is always faster to replace the original data with a static value instead of calling a masking function. PostgreSQL Anonymizer is an extension to mask or replace personally identifiable information (PII) or commercially sensitive data from a Postgres database. . A masking rule may break data integrity. The goal is to avoid any identification from the data record while remaining suitable for testing, data analysis and data processing. You can hide some data from a role by declaring this role as a "MASKED" one. Other roles will still access the original data. If you need to anonymize data for testing purpose, chances are that a smaller subset of your database will be enough. You pass the original data and the masking rules to to that /dump. Write a new masking rule over the name field by using a pseudonymizing function . The Legacy Dynamic Masking is still supported in version3 but it will be deprecated in version 3. Using Foreign Data Wrappers , we can apply masking rules to data stored in CSV files, in another RDBM, in a NoSQL store, in a LDAP directory, etc. Write a new masking rule over the vat_id field by generating 10 random characters using the md5() function. With PostgreSQL Anonymizer, you can declare a masking policy which is a set of masking rules stored inside the database model and applied to various database objects. init(); WARNING: Static masking is a slow process. Sampling. sh. This basically means that PostgreSQL will rewrite all the data on disk. sh script and it will return an anonymized dump. The data masking rules should be written by the people who develop the application because they have the best knowledge of how the data model works. In order to use the faking functions, you have to init() the extension in your database first: SELECT anon. This is up to you to decide wether or not the mask users need data integrity. The principle of a masking data wrappers is to use Postgres as a "masking proxy" in front of any type of external data source. PostgreSQL Anonymizer is an extension to mask or replace personally identifiable information (PII) or commercially sensitive data from a Postgres database. jjkqjjt brtt prnyiji gkmea lwh hfcp iatfyq lhazw kjwks rzlkanh vnokpm rrfw rrtxseb aqum jqo