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Data Masking with Substitution 2009 Informatica CorporationAbstract You can substitute values from a file or table with the Data Masking transformation. You can configure the substitute values to
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How to fill out data masking with substitution

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How to fill out data masking with substitution

01
Step 1: Identify the sensitive data that needs to be masked, such as Social Security Numbers, credit card numbers, etc.
02
Step 2: Determine the appropriate substitution technique for each data type. For example, you can use random number generation or character scrambling.
03
Step 3: Develop a data masking strategy, considering factors like the level of sensitivity and the level of security required.
04
Step 4: Implement the chosen data masking technique using a masking tool or scripting language.
05
Step 5: Test the data masking process to ensure that the masked data retains its format and integrity while protecting sensitive information.
06
Step 6: Continuously monitor and reassess the data masking strategy to accommodate changes in data types or regulations.
07
Step 7: Document the data masking procedures and guidelines for future reference and compliance purposes.

Who needs data masking with substitution?

01
Organizations that handle sensitive customer data like personally identifiable information (PII) or financial data.
02
Companies that need to comply with data protection regulations and ensure the privacy of their customers.
03
Industries such as healthcare, finance, and e-commerce where the risk of data breaches is high.
04
Companies that use data for testing, development, or analytics but need to protect sensitive information.
05
Government agencies that deal with classified or confidential data that requires masking for security purposes.
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Data masking with substitution is a method of protecting sensitive data by replacing actual data with fictitious but realistic data.
Entities or individuals who handle sensitive data are required to file data masking with substitution.
Data masking with substitution can be filled out by following the guidelines provided by the relevant authority.
The purpose of data masking with substitution is to prevent unauthorized access to sensitive data.
Data masking with substitution requires reporting on the types of sensitive data being masked and the methods used for substitution.
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