Sensitive Data Protection Best Practices

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  • 録画日:Nov. 05, 2020
See how to easily identify and resolve potential data privacy issues across your Oracle databases to meet your data privacy regulatory compliance responsibilities. Identification will use a new rules-based system, which you can configure, to scan all the tables in an Oracle schema and identify where sensitive data exists, based on column names.
 
You’ll learn how to:
 
  • Define and customize sensitive data rules
  • Gain visibility into violations through features like alter table, create table and the editor
  • Automate sensitive data identification
  • Use the DB health check feature
  • Simplify reporting
 
You’ll also see how to gain direct access, from identification to resolution, to Oracle features, including data redaction, transparent data encryption, policies and policy groups (used to implement Virtual Private Database) and audit policies (Oracle’s fine grained auditing).
 

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  • 録画日:Nov. 05, 2020

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