8/16/2023 0 Comments Oracle data redaction example![]() Shortcuts for both the regexp_pattern and regexp_replace_string parametersĭBMS_REDACT.RE_PATTERN_ANY_DIGIT : Match any digit and redact with X or 1 as follows: Regexp_match_parameter: Specifies a text literal that lets you change the default matching behaviour of the function. If RE_FIRST then first occurrence if n integer then n occurrence replace If 0 or RE_ALL then all occurrence pattern is replace. Regexp_occurrence: Specifies how to perform the search and replace operation. Regexp_position: Specifies the starting position for the string search. Regexp_replace_string: Specifies how you want to replace the data to be redacted. ![]() Regexp_pattern: describe the search pattern for data if it match then replaces the data by the regexp_replace_string. Regexp_match_parameter IN VARCHAR2 := NULL) įunction_type: Value for regular expression redaction is DBMS_REDACT.REGEXP. Regexp_occurrence IN BINARY_INTEGER := 0, Regexp_replace_string IN VARCHAR2 := NULL, Regular expression-based redaction is used to search for patterns of data and redact that data according to your need.įor example: email addresses as an example you can search and redact it. Oracle Data Redaction was also a feature added during the patch for Oracle Database 11g Release 2 (11.2.0.4), back-ported from Oracle 12c R1.Regular Expression-Based Redaction Policy in Oracle Data Redaction Oracle Advanced Security with Oracle Database 12c is available on both new and legacy applications that need to limit exposure of sensitive data without invasive application changes. However, Data Redaction is used in production environments for redacting data in applications, without having to make changes to the application itself. What’s the difference between Data Masking and Redaction? Oracle Data Masking Pack is mainly used for non-production environments to mask data sets in bulk. Different types of redaction are supported and you can conceal entire data values or redact only part of the value. ![]() Sensitive display data can be redacted at runtime on live production systems with minimal disruption to running applications and without altering the actual stored data. This is done with easy to create policies and with minimal resource usage.Īccording to Oracle, this security feature prevents data columns (such as credit card numbers, Social Security numbers, and other sensitive or regulated data) from being displayed. ![]() This security feature removes sensitive information at the end user layer, before the end user sees it, but without removing or changing the data in the database. When asked if you would like to use the Credit Card on file and will show something like the following It is still a feature that must be licensed separately from Oracle Database Enterprise Edition 12c, but it goes a long way in helping with the enactment of your security policies.Īn example of data redaction is something we have all seen when ordering something online at a website you’ve used before. Data Redaction is a new feature of the Oracle Advanced Security Enterprise Option introduced with version 12c. Enacting security policies and procedures that help remove or reduce these concerns is mandatory in today’s world. With today’s growing concerns regarding the security on BYO devices ( BYOD) such as smartphones, tablets, and laptops it is critical to ensure sensitive data is not exposed.
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