IBM Optim Data Privacy use cases

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Review some key use cases for IBM® Optim Data Privacy.

IBM Optim Data Privacy provides you with the ability to mask your sensitive data while preserving referential integrity. The following use cases illustrate how IBM Optim addresses common challenges in handling data privacy and de-identification.

Securing sensitive data through masking

Challenge: QA teams require realistic test data to validate functionality, but regulations such as GDPR and HIPAA prohibit using actual customer data. Additionally, AI/ML teams need realistic training data without exposing sensitive production data.

Solution: IBM Optim enables you to implement consistent, context-aware data de-identification by using predefined masking policies. IBM Optim retains the format and usability of original data, ensuring that masked values remain realistic for testing and reporting. You can use IBM Optim with custom scripts and user-defined functions to achieve your advanced masking requirements. IBM Optim masks complex data like credit cards and SSNs using predefined masking policies and masking APIs.

Impact: By using IBM Optim Data Privacy to implement masking policies, you can:
  • Protect sensitive data and reduce the risk of exposure.
  • Mask data consistently with application and business logic while preserving data format, usability, and referential integrity.
  • Preserve referential integrity across relational databases and data lakes.
  • Ensure compliance with data privacy regulations and enterprise governance policies.
  • Enable compliant training data without manual redaction and data masking.

Enforcing compliance with masking policies

Challenge: Analytics teams require real production data for accurate insights, but safeguarding personally identifiable information (PII) is essential to avoid compliance violations. Organizations need to support regulatory compliance and sovereign controls while enabling data analysis.

Solution: IBM Optim includes predefined, format-preserving masking policies for industry-standard fields such as social security numbers and credit card numbers. IBM Optim also supports compliance reporting to validate the enforcement of data privacy policies. The solution provides automated compliance for GDPR, HIPAA, SOX, and PCI-DSS requirements with audit trails and sovereignty controls.

Impact: IBM Optim Data Privacy helps to ensure data privacy compliance, thereby:
  • Enabling safe data sharing and preventing data breaches.
  • Minimizing litigation risk by ensuring compliance with global data protection laws.
  • Supporting regulatory compliance and sovereign controls requirements.
  • Enabling production data for analytics with predefined masking policies.
  • Securing production data and preventing data exposure.