In today’s data-driven world, organizations store vast amounts of sensitive information, including Personally Identifiable Information (PII), Protected Health Information (PHI), and financial records. Protecting this data from unauthorized access is a critical challenge. Oracle Data Redaction offers a robust solution by dynamically masking sensitive data as it is retrieved by SQL queries—without altering the stored values. This helps ensure data privacy and security while maintaining seamless application functionality. If you are searching for how to dynamically mask sensitive data for an application, Oracle Data Redaction provides a straightforward approach.

How Oracle Data Redaction Benefits Users

Oracle Data Redaction enables organizations to minimize the exposure of sensitive data to users who do not have a legitimate need to access the original value. By redacting such sensitive data on-the-fly, organizations can minimize exposure risks while maintaining operational efficiency. Oracle Data Redaction dynamically masks application data based on username, IP address, application context, and other session factors. Data Redaction is crucial for scenarios where employees, contractors, customer support, or external analysts interact with production data but you do not want them to access the original data. If you need dynamic masking for Oracle databases, this solution helps you implement secure and consistent redaction on your sensitive data.

Why do customers choose Oracle Data Redaction?

Oracle Data Redaction provides a quick and easy way to raise the bar for data privacy for a variety of uses where data is displayed. For example, a provider of SaaS solutions for direct marketing provides tools to its customers for loading and managing contact information. With Oracle Data Redaction, this provider is able to easily define rules to mask fields containing personal identifying information when displaying the contact records through the tool.

Some of the benefits of Oracle Data Redaction include:

No application modifications are required.  Administrators can quickly apply Oracle Data Redaction policies centrally within the database. Policies can be modified as business requirements evolve, without requiring application changes.

Delivers consistent redaction across database users and applications. Redaction is applied at the data layer, ensuring uniform masking across different applications and user interfaces. Sensitive data remains protected whether accessed via dashboards, reports, or analytics platforms.

Provides operational transparency.  Oracle Data Redaction operates seamlessly and does not modify the underlying database values. It has virtually no impact on system performance.

Enhances data protection in analytics environments. We introduced Data Redaction as part of Oracle Advanced Security with Oracle Database 12c. Oracle Data Redaction introduces significant improvements with Oracle Database 23ai that expand its utility. Oracle Data Redaction now works with complex SQL constructs such as:

  • Support for DISTINCT with ORDER BY on redacted columns
  • Handling of SQL expressions with redacted columns in SELECT, GROUP BY, and inline views
  • Compatibility with set operations (UNION, UNION ALL, INTERSECT, EXCEPT) 
  • And more.

These new capabilities open Data Redaction to use with reporting, interactive data visualization and business intelligence tools.

Sensitive data can be masked on redacted displays, while remaining unmasked for authorized displays.
 
Data Redaction dynamically masks application data based on username, IP, application context, and other session factors. 

Real-World Application of Oracle Data Redaction

Let’s look at an example of Oracle Data Redaction helping to protect data privacy and support business objectives. A financial services organization using a data warehouse for customer transactions needs to provide their analyst team with customer insights while ensuring compliance with data privacy regulations. By implementing Oracle Data Redaction, administrators can define policies that dynamically mask account numbers and national identifiers when accessed through their analytics tools. This allows analysts to work with production data without exposing confidential customer information to analysts.

Try Oracle Data Redaction Today

To learn more about Data Redaction, visit the Advanced Security product page on the Oracle web site. Get hands-on experience with Oracle Data Redaction by exploring one of our free Redaction LiveLabs. Visit Oracle LiveLabs and search for “redaction” to access interactive labs that showcase redaction capabilities in action.