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Data Masking and Anonymization for PostgreSQLtrueData Masking and Anonymization for PostgreSQLTITRE : Data Masking and Anonymization for PostgreSQL SUBTITLE : The Anonymization Challenge 8 Strategies
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To fill out masking functions in PostgreSQL, follow these steps: 1. Create a new masking function using the CREATE FUNCTION statement. 2. Define the input and output data types for the masking function. 3. Write the logic for masking the sensitive data within the function body. 4. Test the masking function with sample data to ensure it works correctly. 5. Use the ALTER TABLE statement to apply the masking function to the desired columns in your database. 6. Check the masked data to confirm that the masking function is properly applied.

Who needs masking functions - postgresql?

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Masking functions in PostgreSQL are useful for anyone who wants to protect sensitive data within their database. This can include organizations and individuals who handle personally identifiable information (PII), financial data, medical records, or any other type of sensitive information. Masking functions help ensure compliance with data privacy regulations and prevent unauthorized access to sensitive data.
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Masking functions in PostgreSQL are used to obfuscate sensitive data within a database, making it unreadable or partially readable to unauthorized users. They allow the creation of data policies that control who can view certain data points.
Organizations that handle sensitive data and want to comply with data protection regulations or internal policies are required to implement and file masking functions in PostgreSQL.
To fill out masking functions in PostgreSQL, you write SQL functions that apply a specified masking pattern to the data. This involves defining the function, specifying the input data, and returning the masked result based on your requirements.
The purpose of masking functions in PostgreSQL is to protect sensitive information from unauthorized access while still allowing authorized users to perform necessary operations on the data.
Information that should be reported on masking functions includes the type of data being masked, the masking rules applied, and any specific user roles that are authorized to view the unmasked data.
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