Copying production data to non-production environments? 

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

Non-production environments, for any number of reasons, can be vulnerable, risking any production data that may be used to test inside them. Our Test Data Management solution anonymizes production data to be safely used in non-production environments. Test accurately, without the risk of data exposure.

Anonymization

Convert sensitive data from your prod environment to non-prod environments with meaningful substituted values.

Referential Integrity

Consistent, repeatable replacements across data sources to ensure business logic or test scripts just work.

No Data Set Duplication

Real-time tokenization removes the need to duplicate large data sets before creating test data.

Representative High-Fidelity Test Data

Build test data sets that accurately represent characteristics and trends in existing data sets.

Existing or Synthetically-Created Datasets

Create data based on existing customer sets, or no customers at all.

Test faster with fake data 

Scale Easily

Create test data in real-time, with no duplication and virtually no latency.

Test with Confidence

With high-fidelity, referential test data that acts like real data, you can ensure your non-production environments are operating as they should be.

Reduce Testing Risk

Never let the integrity of non-production environments impact your data security.

Host Anywhere

Use the same process to generate data in any location, including ingestion pipelines for big data and cloud analytics on-prem or in the Cloud.

Billions of records processed monthly

Components and Functionality

Cloud and On-prem

Use the same processes to scan data in all locations.

Distributed Scanning

Use satellite scanning nodes to process data in residency regions or cloud locations.

Read more about our Data Security Platform and core technologies

Explore DSP

Virtually no false positives.

DataStealth is built for enterprise. With fast and easy integration that’s as simple as updating your DNS.

Data Lineage

Classification of not only where sensitive data is located, but also related objects and copies.

API, Demand, or Scheduled

Initiate scans via API integrations, on-demand, or scheduled to run off-hours or on a regular schedule.

Components and Functionality

Filter and Subset

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

Business and referentially-aware subsetting

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

Script and API Execution

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

Transfer schema and data

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

Enable the same consistent test data generation across delta files, analytics, big data and more.

what we do

Components and Functionality

Cloud and On-prem

Use the same processes to scan data in all locations.

Protect payment card data.
Reduce PCI audit scope.
Comply with new PCI DSS 4.0 requirements.

Data Lineage

Classification of not only where sensitive data is located, but also related objects and copies.

De-risk non-production environments with high-fidelity substitute data.

Distributed Scanning

Use satellite scanning nodes to process data in residency regions or cloud locations.

API, Demand, or Scheduled

Initiate scans via API integrations, on-demand, or scheduled to run off-hours or on a regular schedule.

Ready to see it in action?