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The 2026 Test Data Management Report for AI-Ready Enterprises
- Letter from the Authors
- Ranking Test Data Priorities: Why Data Quality Claims the #1 Spot
- The Data Control Paradox: Top Priorities vs. Biggest Barriers
- The Problem with Process: Test Data Bottlenecks Are Stalling Workflows
- Solving for Modern Test Data Management Challenges
- Key Takeaways: How You Can Make the Next Step Toward AI-Ready Test Data Management
- Respondents Snapshot: Segments, Industries, & Job Titles
- Key Terms to Know
Report > The 2026 Test Data Management Report for AI-Ready Enterprises
Key Terms to Know
- Data Masking: The process of protecting sensitive data by replacing real values with fictitious values.
- Dynamic Data Masking: Role-based, temporary, reversible obfuscation, which may lead to data re-identification and breach by bad actors.
- Static Data Masking: Permanently replaces sensitive information, such as PII and PHI with fictitious, yet realistic data.
- Data Subsetting: A minimized production dataset that redacts table columns for sensitive fields.
- Data Virtualization: A technology that provides fast, easy access to data across different sources and formats. It does not physically move or copy the data. Instead, it creates a virtual layer or virtual data copies that streamline access to the right underlying datasets.
- Production-Like Data: See realistic data.
- Realistic Data: Masked data that resembles real data. This is also known as production-like data.
- Sensitive Data: Information that must be protected and kept confidential. Examples include sensitive consumer data, such as PII and PHI.
- Synthetic Data: Synthetically generated, net-new data that may or may not provide data realism and referential integrity vis-a-vis production data.
- Test Data Management: The process for providing controlled data access to modern teams throughout the software development lifecycle (SDLC).
- Tokenization: A data protection technique with separation-of-data control. The sensitive value is removed and replaced with a non-sensitive placeholder called a “token,” while the real value lives in a secure vault.