Question 1

What is Test Data Manager?

Accepted Answer

Test Data Manager is an AI-powered synthetic data generation and data masking platform by Datagaps. It uses Agentic AI to automatically detect PII/PHI, apply dynamic masking, and generate compliant, realistic test datasets — enabling faster QA while ensuring GDPR, HIPAA, and CCPA compliance.

Question 2

What is synthetic test data generation?

Accepted Answer

Synthetic test data generation creates realistic, artificial datasets that mimic the structure and patterns of real data — without exposing sensitive information. Test Data Manager uses Agentic AI to generate synthetic datasets that are statistically accurate and safe to use in development and QA environments.

Question 3

How does Test Data Manager detect PII and PHI?

Accepted Answer

Test Data Manager uses Agentic AI to automatically scan and classify Personally Identifiable Information (PII) and Protected Health Information (PHI) across your datasets. It identifies sensitive fields such as names, addresses, SSNs, medical records, and financial data — enabling targeted masking and compliance.

Question 4

What is dynamic data masking?

Accepted Answer

Dynamic data masking replaces sensitive data values with realistic but fictitious equivalents in real time — protecting PII and PHI while maintaining data usability for testing. Test Data Manager applies masking rules automatically based on AI-detected sensitive fields.

Question 5

How does Test Data Manager help with GDPR, HIPAA, and CCPA compliance?

Accepted Answer

Test Data Manager ensures privacy compliance by automatically identifying PII/PHI fields and applying masking or synthetic data substitution before test data reaches development or QA environments. This prevents exposure of real customer or patient data — supporting GDPR, HIPAA, and CCPA requirements.

Question 6

How does Agentic AI power Test Data Manager?

Accepted Answer

Agentic AI in Test Data Manager automates the entire test data lifecycle — from scanning datasets for sensitive data, to classifying PII/PHI fields, generating synthetic replacements, and applying masking rules. It reduces manual effort in test data preparation while ensuring compliance and data realism.

Question 7

What is the difference between data masking and synthetic data generation?

Accepted Answer

Data masking transforms existing real data by replacing sensitive values with masked equivalents, preserving the original data structure. Synthetic data generation creates entirely new, artificial datasets from scratch that mimic real data patterns. Test Data Manager supports both approaches depending on your compliance and testing needs.

Question 8

Is there a free trial for Test Data Manager?

Accepted Answer

Yes. Datagaps offers a free 14-day trial of Test Data Manager with no credit card required.

DataOps Suite

ETL Validator

BI Validator

Data Quality Monitor

Test Data Manager

Use Case

Cloud

Analytics

Industry

Data Testing Concepts

Academy

Support

DataOps Suite

ETL Validator

BI Validator

Data Quality Monitor

Test Data Manager

Use Case

Cloud

Analytics

Industry

Data Testing Concepts

Academy

Support

DataOps Test Data Manager - 14 Days Free Trial

A one-stop solution for creating & managing test data as per your needs.

During trial period, access the following resources and get the most out of our software products.

Use Cases

Data Sheet

Technical Support

Solutions

Data Testing Concepts

Products