Context-aware, consistent masking while preserving usability
Trusted, compliant data without manual redaction
Data protection requires sensitive information to be de-identified while remaining usable. IBM Optim applies policy-driven, context-aware masking to protect sensitive information while preserving data formats and referential integrity. Built-in privacy controls help reduce data exposure risks, support data sovereignty and automate compliance with evolving regulations.
This approach enables trusted datasets that support governed and compliant data usage across hybrid environments.
Policy driven data protection
Mask data in databases through user-defined functions to protect data at rest. Leverage multiple masking options, including custom masking formats, with a centralized policy engine for compliant and secure data usage.
Preserve original data formats, relationships and business context to maintain referential integrity and data usability. Create production-like masked datasets without manual redaction.
Apply masking policies consistently across applications, databases and data lakes to protect sensitive data in non-production environments, minimizing data exposure risks and ensuring regulatory compliance.
Built-in security and privacy
Provide realistic, masked data for AI/ML training while preserving context, relationships and usability. Accelerate model development and enable trusted AI outcomes without exposing sensitive information.
Built-in privacy controls enable the secure sharing and use of data across non-production and external environments. Facilitate collaboration across teams while preserving data usability and reducing exposure risks.
Automate compliance with GDPR, HIPAA, SOX and PCI-DSS through policy-driven privacy controls while supporting evolving regulatory and data sovereignty requirements. Strengthen governance through secure access and audit trails.
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