Test Data Management | DataStealth

Components and Functionality

An illustrative image with a computer and a server with floating browser windows around it, one with a cloud upload icon, and two with code/text above. There are also multiple decorative lines and gears.

Filter and Subset

Use lookup and row data to filter and subset data to create variable sized data sets while ensuring referential integrity.

Script and API Execution

Use custom scripts to manipulate data, and make calls out to APIs to get data or trigger business processes.

Business and Referentially-Aware Subsetting

Apply business logic and integrity, supporting multi-table "joins" to apply intelligent replacements.

Transfer Schema and Data

Extracts and creates database structure to avoid restoring databases to apply de-identification.

Frequently Asked Questions

What is DataStealth’s Test Data Management solution?

DataStealth’s Test Data Management solution provides a safe way to use high-fidelity “fake” or anonymized data derived from real production data within non-production environments. This approach reduces risk by ensuring sensitive information is never exposed during testing.

Why do organizations need a dedicated Test Data Management solution?

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Organizations often copy production data into non-production environments for testing, which can introduce significant risk if those environments are less secure. DataStealth’s solution helps address this vulnerability by anonymizing production data, limiting the potential for data exposure.

How Does DataStealth Anonymize Production Data?

The solution transforms sensitive data from production environments into meaningful substituted values that preserve the structure and characteristics of the original data. This anonymization process is done in real-time and does not require duplicating large datasets beforehand.

What is Referential Integrity and Why is It Important?

Referential integrity ensures that relationships in the data (e.g., multi-table joins, business logic references) are preserved after anonymization. This means that any scripts, business processes, or applications relying on consistent data relationships will still function correctly, even though the data has been anonymized.

Can I Create Realistic Test Data Without Copying Production Data Directly?

Yes. DataStealth’s solution supports both existing (production-based) and fully synthetic data creation. You can generate high-fidelity datasets that retain the representative patterns and trends of real data without exposing any actual sensitive information.

Do I Need to Create Duplicates of My Production Data to Generate Test data?

No. The system uses real-time tokenization and anonymization, which eliminates the need to replicate large datasets before creating test data. This approach conserves resources while minimizing the risk of data leaks.

How Can I Ensure That My Test Data Accurately Reflects Real-World Scenarios?

DataStealth produces high-fidelity test data, maintaining representative characteristics and trends from your original datasets. This ensures testing environments accurately mirror real-world usage, making test results more valid and reliable.

Can DataStealth Manage Database Structure (Schema) When Creating Test Data?

Yes. DataStealth can extract and recreate the database schema for your non-production environment, eliminating the need to restore full databases or perform complex manual processes to move from production to test.

Will This Solution Scale to Meet Large Data Requirements?

Definitely. DataStealth is designed to process billions of records monthly, allowing organizations to scale their test data management processes as required.

What Is The Implementation Process?

Because there’s no need to replicate entire databases or make extensive changes to your existing infrastructure, DataStealth can be implemented rapidly. You simply integrate the tool within your data pipeline or testing workflow, and it begins anonymizing data on the fly.

Where Can I Host the Test Data Management Solution?

You can host DataStealth in on-premises environments, in the cloud, or as part of big data and analytics pipelines. The same process and features apply uniformly across different hosting locations.

Why Should We Trust DataStealth With Our Data?

DataStealth is a patented Enterprise Data Security Platform designed specifically to enhance data security and simplify compliance with stringent regulations such as PCI DSS.

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It ensures robust protection by anonymizing sensitive customer information before it enters non-production environments, significantly reducing security risks.

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Because only substitute data reaches your testing environments, even if unauthorized access occurs, no sensitive information is exposed.

What Is The Benefit of Working With DataStealth?

The key benefits of using DataStealth for test data management include:

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Real-Time Data Generation: DataStealth creates synthetic test data in real-time, with virtually no latency or duplication, enabling efficient and agile testing processes.
High-Fidelity Referential Integrity: The synthetic data generated maintains the characteristics and referential integrity of original production data, ensuring realistic and reliable testing scenarios without exposing sensitive information.
Enhanced Data Security: By obfuscating sensitive information before it enters non-production environments, DataStealth significantly reduces the risk of data breaches and unauthorized access, ensuring compliance with privacy and regulatory standards such as PIPEDA, HIPAA, GDPR or PCI DSS.
Scalability and Flexibility: DataStealth can scale easily to handle large volumes of data across different environments (on-premises or cloud-based), maintaining consistent performance regardless of deployment location.
Risk Reduction in Testing Environments: By removing sensitive information from test environments, organizations significantly reduce compliance risks related to data privacy regulations. Even if test environments are compromised, the anonymized data is no longer personally identifiable, minimizing potential regulatory and legal consequences..

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How Do We Get Started?

Ready to transform how your organization handles test data? DataStealth's Test Data Management solution provides the security, compliance, and efficiency your development teams need without compromising data quality.

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Here's how to move forward:

Schedule a personalized demonstration to see how DataStealth works with your specific data environments and security requirements.

Consult with our data security experts to develop a customized implementation strategy aligned with your organization's compliance needs and technical infrastructure.

Begin a risk-free evaluation to experience firsthand how DataStealth can protect your sensitive information while maintaining high-fidelity test data.

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Don't compromise between security and development efficiency any longer. Contact the DataStealth team today to schedule your consultation and demonstration.

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Copying production data to non- production environments?

A Patented, All-in-one Data Security Platform for PCI Compliance

Create high-fidelity test data to limit the risk of production data exposure in non-production environments.

Protect your non-production environment from production data

Test faster with fake data

Scale Easily

Test with Confidence

Reduce Testing Risk

Host Anywhere

Components and Functionality

Filter and Subset

Script and API Execution

Business and Referentially-Aware Subsetting

Transfer Schema and Data

Frequently Asked Questions

Request
a Demo

Copying production data to non- production environments?

A Patented, All-in-one Data Security Platform for PCI Compliance

Create high-fidelity test data to limit the risk of production data exposure in non-production environments.

Protect your non-production environment from production data

Test faster with fake data

Scale Easily

Test with Confidence

Reduce Testing Risk

Host Anywhere

Components and Functionality

Filter and Subset

Script and API Execution

Business and Referentially-Aware Subsetting

Transfer Schema and Data

Frequently Asked Questions

Requesta Demo

Request
a Demo