Realistic Data. Zero Compliance Risk. Every Environment.

Testing with production data creates regulatory exposure. Testing with stale or synthetic data produces poor results. Acuative solves both by implementing Redgate Test Data Manager: a platform that automatically discovers sensitive data, masks it consistently, and provisions realistic sub-setted copies into your development, QA, and staging environments at a fraction of the storage cost, integrated directly into your pipeline.

Why Modernize Your Test Data Management?

Test with data that actually reflects production

Poor test data is the hidden cause of defects that make it to production. Acuative configures Redgate Test Data Manager to provision realistic, referentially complete datasets into every lower environment at every test cycle. 

Meet privacy regulations without compromising test quality

Redgate Test Data Manager automatically discovers, classifies, and masks all personal data before it leaves your production environment. Acuative configures masking rules that maintain data realism — names are replaced with realistic names, IDs with valid ID formats — so your tests behave identically to production while remaining fully compliant with PDPL, GDPR, and other privacy frameworks.

Cut storage costs by up to 95%

Full production database copies multiplied across every dev, test, staging, and performance environment create massive, unnecessary storage overhead. Acuative configures Redgate Test Data Manager's sub-setting engine to provision only the realistic portion each environment needs — cutting storage consumption by up to 95% without compromising test accuracy.

Give your teams fresh data — automatically

Acuative integrates test data provisioning directly into your CI/CD pipeline. At each stage, a fresh, masked, sub-setted dataset is provisioned automatically — no DBA involvement, no manual data movement, no waiting. Your teams always have current, consistent data to work with.

What Can You Achieve
 
Benefits of TDM

Automated Data Discovery & Classification

Redgate Test Data Manager automatically scans your database schema to discover and classify sensitive personal data, ensuring nothing is overlooked and compliance coverage doesn't rely on manually maintained spreadsheets or human intervention.

  • Automated column-level scanning using pattern recognition and semantic analysis 
  • 200+ built-in classifiers covering names, emails, national IDs, financial data, and health records 
  • Custom classifier rules for organisation-specific or regional sensitive data types 
  • Classification results documented and exportable for compliance reporting 
  • Cross-table scanning to identify sensitive data regardless of column naming conventions
Data Discovery

Consistent Data Masking

Sensitive data is replaced with realistic, compliant substitutes while maintaining data formats, relationships, and referential integrity. Consistent masking ensures the same source value always produces the same masked value, preserving joins and foreign key relationships throughout the database.

  • Format-preserving masking: IBANs stay IBAN format, IDs stay valid ID patterns 
  • Deterministic masking: consistent output for the same input across all related tables 
  • Built-in functions: substitution, shuffling, nulling, randomisation, and custom expressions 
  • Referential integrity preserved: foreign key relationships remain intact after masking 
  • Masking applied at provisioning time — production data is never modified
Data Masking

Smart Sub-Setting

Instead of creating full copies of production databases, a statistically representative, referentially complete subset of data is extracted for testing. A 2TB production database can be reduced to a 100GB test dataset while preserving the relationships, dependencies, and data patterns needed for accurate testing.

  • Filter rules by date range, customer segment, region, or custom query 
  • Automatic dependency resolution: related rows in child tables included automatically 
  • Referential integrity engine: all foreign key constraints satisfied in the extracted dataset 
  • Multiple sub-set profiles: different sizes and scopes for unit, integration, and performance tests 
  • Preview and validation before provisioning to confirm completeness
Data Sub-setting

Pipeline-Integrated Provisioning

Automate test data delivery within CI/CD pipelines, provisioning fresh, masked, and subsetted datasets to development, test, and staging environments on demand or on schedule — without manual intervention.

  • Image-based provisioning: masked sub-set saved as a reusable image for rapid cloning 
  • Clone-on-demand: new test environments spun up from an existing image in minutes  
  • REST API integration: provisioning triggered automatically from any CI/CD platform 
  • Parallel provisioning: multiple teams receive separate clones simultaneously 
  • Automated refresh scheduling: environments updated on a defined cadence
Pipeline Provisioning

How Acuative Implement & Supports Test Data Manager

Compliance Assessment & Data Discovery

We scan your source databases to identify all sensitive data fields and map the results against your applicable regulations — PDPL, GDPR, NCA, SAMA. We produce the complete masking specification that forms the technical foundation for your implementation.

Masking Rule Configuration

Acuative configures masking functions for every classified field — selecting format-preserving, deterministic, or custom masking methods as required. We validate that referential integrity is maintained across all foreign key relationships before any provisioning runs.

Sub-Setting Profile Design

We design sub-setting profiles for each team and environment type — unit test, integration test, performance test. We configure filter logic, dependency resolution, and size targets, then validate completeness with a full referential integrity check before go-live.

Pipeline Integration

Integrating the provisioning pipeline into your CI/CD workflow — configuring automated image refresh, on-demand cloning for developer environments, and environment metadata tracking for test run traceability.

Ongoing Compliance Maintenance

As your database schema evolves — new tables, new columns, new data categories — We maintain your masking ruleset to ensure no new sensitive fields are left unmasked. We conduct periodic scans and provide compliance coverage reports.

Frequently Asked Questions

How does masking preserve data realism for testing purposes?

Redgate Test Data Manager uses format-preserving masking — real values are replaced with realistic substitutes in the same format. Names become valid names, emails become valid emails, IDs stay in the correct pattern. Tests behave identically to production conditions, so you catch the same defects without the compliance risk.

What does sub-setting actually mean — and how much does it reduce storage?

Sub-setting provisions a representative portion of production data — rather than a full copy — while maintaining all relationships and data patterns needed for accurate testing. Most organisations see 80–95% storage reduction. Acuative configures the sub-setting logic so each team gets exactly what they need.

Which privacy regulations does this support?

Automated masking and classification documentation directly support PDPL (Saudi Arabia), GDPR (EU), HIPAA, and PCI-DSS. Acuative configures masking rules to align with your specific regulatory obligations and produces the audit documentation your compliance team requires.

Can provisioning be automated into our existing CI/CD pipeline?

Yes. Acuative integrates Test Data Manager via its REST API into your CI/CD platform of choice — Azure DevOps, GitHub Actions, GitLab CI, Jenkins, and others. Every build or test cycle automatically receives a fresh, masked, sub-setted dataset. No manual steps required.

What happens when our database schema changes — do masking rules need to be updated manually?

As part of Acuative's managed support, we conduct periodic classification scans to identify new sensitive fields introduced by schema changes. Your masking ruleset is updated before those fields reach a lower environment — so compliance coverage is continuous, not a one-time exercise.

 

Ready To Test Better?

Talk to us to assess your current test data process and design the right Test Data Manager implementation for your environment and compliance requirements.