Data Masking & Privacy Protection
Protect sensitive mainframe data across non-production environments by automating the discovery and de-identification of PII and sensitive business information.
Intelligent Data Discovery
Automatically discover, classify, and contextualize sensitive data across mainframe and downstream environments.
Detection of PII, PHI, and sensitive business data
Cross-environment data mapping
Automated classification and tagging
Policy-Driven Data Masking
Protect sensitive data using persistent, policy-based masking while preserving system functionality and analytical value.
Static and dynamic masking models
Role- and context-based masking policies
Non-disruptive workflow integration
Privacy-Centric Data Architecture
Embed privacy controls into data workflows to minimize breach risk and ensure regulatory compliance.
Alignment with GDPR and global privacy regulations
Reduced exposure in non-production environments
Strengthened enterprise data governance
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Data Masking & Privacy Protection
Protect sensitive mainframe data before it reaches development, testing, analytics, or third-party environments. Discover sensitive data, apply policy-driven masking, and preserve usability — without exposing real production information.
What This Solves
Sensitive production data is often copied into non-production environments with limited control.
Spreadsheets, scripts, and manual masking approaches:
- Are inconsistent
- Break data relationships
- Are hard to audit
- Still expose sensitive information
This creates unnecessary privacy risk, audit gaps, and operational inefficiency.
Core Capabilities
Sensitive Data Discovery
Automatically identify where sensitive data exists before it is copied or used.
- Detect PII, financial, and confidential data
- Scan datasets across environments
- Classify and tag sensitive fields
Policy-Driven Data Masking
Apply consistent masking rules aligned to business and environment needs.
- Static masking for non-production datasets
- Dynamic masking for controlled access
- Format-preserving masking
- Consistent masking across systems
Usable Masked Data
Protect data without breaking applications or testing.
- Preserve structure and format
- Maintain referential integrity
- Keep datasets realistic and functional
Controlled Access & Auditability
Ensure sensitive data is never exposed without control.
- Role-based access to masked/unmasked views
- Approval workflows for sensitive access
- Full audit trail of masking and usage
Where It Fits
Designed for environments where production data flows into:
- Development & testing
- UAT environments
- Analytics & reporting
- Third-party integrations
Business Outcomes
- Reduce sensitive data exposure
- Safer non-production environments
- Faster test data provisioning
- Lower manual effort
- Stronger audit and compliance posture
Use production-like data — safely
Enable teams to test, build, and analyze with realistic datasets without exposing real customer or business data.
Protect sensitive data before it spreads
See how KlarityInfra helps you discover, mask, and control data across environments — without disrupting operations.