Software for anonymize and automate test data delivery

Classify, transform and provision secure test data. Eliminate bottlenecks, protect sensitive information and ensure compliance in non-production environments

Why is it so difficult to generate secure test data?

IT bottlenecks and dependencies

QA and development teams depend on IT to obtain consistent and secure test data, creating bottlenecks in testing cycles and delays in time-to-market.

Manual processes and lack of scalability

Test data anonymization and transformation are often performed manually, with no version control or traceability, making it difficult to automate and govern the process.

Risk of data exposure and non-compliance

Using real or poorly anonymized data in testing exposes sensitive information and jeopardizes compliance with regulations such as GDPR, HIPAA, NIS2, and others.

How Gigantics works

Discover PII

Connect your databases and analyze their schema. Automatically detect personal identifiable information (PII), assess risk levels, and generate auditable reports.

Define transformation rules

Configure rules such as anonymization, synthetic data generation, masking, and other operations. Tailor transformations to each use case, target system, and regulatory requirements.

Generate test data

Generate anonymized, transformed, and versioned datasets. Prepare secure test data aligned with applicable regulations, ready for use in any environment prior to production.

Automate test data delivery

Load datasets into non-production environments and CI/CD pipelines. Automate test data delivery, eliminate IT dependencies, and accelerate testing, validation, and development cycles.

Control the entire test data lifecycle — from classification to delivery — with data anonymization, security, and compliance

Use cases

UI Testing

Validate the user experience by simulating real-world scenarios in test environments with anonymized and coherent data structures

SQL Optimization

Run performance and accuracy tests on your SQL queries using realistic and consistent test data—without accessing production

Data migration testing

Ensure data integrity and privacy during migrations between databases or schema versions, using prepped datasets for testing

Data simulation for analytics

Use anonymized test data to run analytics, dashboards, or business simulations without compromising data confidentiality

Secure test data sharing

Share datasets internally or with third parties without exposing sensitive data, using anonymization techniques and access control

Agile environment provisioning

Spin up temporary development or testing environments using ready-to-use test data—without relying on manual processes or IT

They trust us