Information
Data masking policy is a fine-grained access control used to protect sensitive data from unauthorized access by selectively masking plain-text data in table and view columns at query time.
Masking policy allows for a wide range of use cases where data can be queried, aggregated and analyzed in a privacy preserving manner.
NOTE: Nessus has provided the target output to assist in reviewing the benchmark to ensure target compliance.
Solution
Identify columns with sensitive data across all account tables and views and apply appropriate masking policies following steps described in the
documentation
.
If columns with sensitive data are tagged appropriately, tag-based masking can be used.
Sensitive data columns can be identified and tagged with assistance of the EXTRACT_SEMANTIC_CATEGORIES and ASSOCIATE_SEMANTIC_CATEGORY_TAGS system functions. See the
Data Classification documentation
for details.
To create a data masking policy, follow the steps in this
documentation
.
Impact:
Manual and automated workflows relying on querying unmasked data may be broken unless updated prior to application of a masking policy.