IBM Optim Data Privacy

Context-aware, consistent masking while preserving usability

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Overview

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.

Features

Policy driven data protection

Apply predefined masking policies to protect sensitive data for testing and AI/ML training. Reduce manual effort and standardize privacy controls through out-of-the-box masking capabilities.

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.

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Use cases

Built-in security and privacy

Safeguard training data for AI/ML models

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.

Secure data sharing

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.

Automated compliance and data sovereignty

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.

Take the next step

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