Logo-Gigantics

Data Anonymization Software with Referential Integrity

Eliminate the risk of exposing real data in non-production environments. Without blocking your releases. Without modifying your architecture.

Automate anonymization and get realistic, consistent, and auditable datasets. Compliant with GDPR, DORA and NIS2.

OracleSQL ServerPostgreSQLDB2MySQLand more

Gigantics lets you:

  • Referential integrity across multi-technology environments. The same rules applied across all your engines simultaneously.
  • Automatic provisioning of secure data. Your teams receive anonymized datasets ready to use, without manual intervention.
  • Guaranteed data sovereignty. Detection and anonymization on-premises. Zero external transfers.
  • Automatically generated compliance evidence. Immutable PDF reports with a complete PII map, ready for any regulatory review.
  • Statistical value and format preserved. Your teams work with functional and consistent data, without accessing production.

Schedule your 30-minute technical session

No cost. No commitment.

We'll contact you within 24 hours to coordinate the session.

Lockton
IMQ
CNP
Profesia
Oesía
itw
zint3ch
Asitur

Gigantics allows me to carry out software development processes without the risk of accessing confidential client information, thus maintaining information security.

CL

Carlos León

Lockton

Gigantics combines technical reliability with a modern and accessible user experience. A tool for those who seek to protect their data without compromising operational agility.

JS

Jesús Sobrino

IMQ

Optimize your operational efficiency and security

10× faster

Your DBAs stop managing data manually. Provisioning is fully automated.

100% PII coverage

No sensitive data reaches a non-production environment without protection. No exceptions.

Zero-Inconsistencies

Your anonymized datasets maintain referential coherence between tables and systems, regardless of the engine.

How does Gigantics work?

01

Sensitive Data Detection

The engine scans your sources, identifies PII, and respects relationships and dependencies between tables to define the anonymization strategy.

02

Protection Logic Configuration

Deterministic rules ensure a source value always maps to the same target value, preserving referential integrity across all systems.

03

Secure Data Provisioning

Anonymized data is delivered directly to the target environment. Sensitive data never leaves your infrastructure.

04

Integration and Automation (TDM)

API/CLI for CI/CD or ETL pipelines. Automated, secure, and traceable flows for auditing.

Diagram

Use cases

CI/CD and DevOps Provisioning

Automated delivery of protected data in continuous deployment pipelines.

Data Governance in Hybrid Environments

Centralized privacy across On-Prem and Cloud, with identical rules regardless of the engine.

Secure Democratization for Analytics and AI

Realistic datasets and synthetic data that preserve statistical properties without exposing real PII.

Migration and Modernization Validation

Integrity comparisons with anonymized data to reduce risk in Cloud modernization.

FAQsAnswers on deterministic anonymization, data sovereignty, and CI/CD.

No. Gigantics is local-first. The PII detection engine and AI rules run locally on your infrastructure; sensitive data never leaves your perimeter at any time.

Yes. In addition to predefined rules, you can run custom JavaScript functions for complex or tailored logic.

Sinks and Taps inherit the rules and dictionary model, guaranteeing identical anonymization and cross-referential integrity in hybrid environments, regardless of the engine.

Absolutely. You can schedule recurring operations or trigger them via API/CLI so your non-production environments always have useful and protected data.

The audit module generates immutable PDF reports with PII discovery and applied rules, ready for security and compliance reviews.

The price adapts based on the volume of connectors and environments. Request your technical demonstration and we'll provide a proposal tailored to your case.

Do you have a specific use case? Let's validate it together.

In 30 minutes we review your architecture and check if Gigantics fits your real environment.

See technical demo