We need to make sure the respective user (in my case apps user) has access to the DBMS_REDACT package. NUMBER, BINARY_FLOAT, BINARY_DOUBLE, CHAR, VARCHAR2, NCHAR, NVARCHAR2, DATE, TIMESTAMP, TIMESTAMP WITH TIME ZONE, BLOB, CLOB, and NCLOB. It supports the following column data types:
Updates a Data Redaction policy expression You must restart the database instance before the updated values can be used.
REDACTED EXAMPLE FULL
Globally updates the full redaction value for a given data type. Important Procedures related to DBMS_REDACTĪdds a Data Redaction policy to a table or viewĪpplies a Data Redaction policy expression to a table or view columnĬreates a Data Redaction policy expression For example, you may want to present a Social Security number that ends with the numbers 4320 as ***-**-4320. Oracle Data Redaction is ideal for situations in which you must redact specific characters out of the result set of queries of Personally Identifiable Information (PII) returned to certain application users. Use Oracle Data Redaction when you must disguise sensitive data that your applications and application users must access.ĭata Redaction enables you to easily disguise the data using several different redaction styles. The package includes five procedures to manage the rules and an additional procedure to change the default value for the full redaction policy. The package used to create protection rules is called DBMS_REDACT. During the definition of such policies, the DBA can specify which columns and the type of protection that must be applied. We can create redaction policies that specify conditions that must be met before the data gets redacted and returned to the user. During the time that the data is being redacted, all of the data processing is performed normally, and the back-end referential integrity constraints are preserved. This solution works well in a production system. Oracle Database applies the redaction at runtime when users access the data (that is, at query-execution time). The redacted data presented to the querying application user appears as randomly generated values each time it is displayed, depending on the data type of the column. It is designed for use with character data only. You can use this option to test the redaction policy definitions before applying them to a production environment. For example, you can use regular expressions to redact email addresses, which can have varying character lengths. The None redaction type option enables you to test the internal operation of your redaction policies, with no effect on the results of queries against tables with policies defined on them. For example, you can use regular expressions to redact email addresses, which can have varying character lengths.
You can use regular expressions to look for patterns of data to redact. For example, you can redact a Social Security number with asterisks (*), except for the last 4 digits. For example, columns of the NUMBER data type are redacted with a zero (0), and character data types are redacted with a single space. The redacted value returned to the querying application user depends on the data type of the column. You redact all of the contents of the column data. You can redact column data by using one of the following methods:įull redaction.