Protection within your infrastructure
Manages the processing of sensitive data within your organization's own technology environment.
Protection · Governance · Provisioning
Your data keeps its value. Sensitive information, under control.
Gigantics protects sensitive information and enables access to safe, reliable data in non-production environments, preserving its integrity and traceability.
Protection within your infrastructure · Referential integrity · Traceability
Trusted by
Connect to any source — see the compatibility matrix →
PostgreSQLMySQLMariaDBMongoDBAzure DBFirebaseDynamoDBAmazon DBOracleSQL ServerSybaseHadoopCassandraHBaseNeo4jCouchDBDB2 zOSDB2 iSeriesSalesforcePostgreSQLMySQLMariaDBMongoDBAzure DBFirebaseDynamoDBAmazon DBOracleSQL ServerSybaseHadoopCassandraHBaseNeo4jCouchDBDB2 zOSDB2 iSeriesSalesforce
The platform
From discovery to secure provisioning
It identifies sensitive data, applies the necessary transformations and enables its use with traceability and access controls.
Four connected capabilities
Example1/4
Production
actual production data
customers
id4417
nombreJuan Pérez
emailjuan.perez@acme.com
FOREIGN KEY ✓
orders
customer_id4417
total1.240,00 €
Discoverdetects PII
Governlogs it
Anonymizetransforms it
Provisiondelivers it
Non-production
dev · QA · staging · AI
customers
id····
nombre····· ····
email······@·······.····
FOREIGN KEY ✓
orders
customer_id····
total1.240,00 €
The data changes. The relationships hold.
Signed lineage and reports — where each piece of data comes from, who changed what and when
Why Gigantics
Control of the data stays with your organization
Three principles that guide how Gigantics handles information and preserves its usefulness.
Useful, consistent data
Applies anonymization techniques while preserving the relationships between data and its operational usefulness.
Governance and traceability
Establishes access controls and logs operations to make oversight and auditing easier.
Deployment
Data protection within your perimeter
Gigantics lets you process information within your organization's own infrastructure and automate the processes through its integrations and API.
terminal
# from your CI/CD · the key lives in your secrets manager
$ curl -X POST "$GIGANTICS_PIPELINE_ENDPOINT" \
-H "Authorization: Bearer $GIGANTICS_API_KEY"
{
"job_id": "64c8c45b8a5f1e001a3db9aa",
"job_url": "https://<host>/api/job/64c8c45b8a5f1e001a3db9aa"
}# check the status (no API key required)
$ curl "https://<host>/api/job/64c8c45b8a5f1e001a3db9aa"
# once status = completed the dataset link appears,
# ready to load into your test database# Linux · on your own server
$ tar -xzf gigantics-linux.tar.gz
$ ./gig start -d
# open http://localhost:5000
Windows
> gig.exe startYour environments refresh themselves, on a schedule or with every deployment, without tickets or access to production.
InstallationLocalLinux or Windows, no cloud dependencies
Startup
./gig startA single binary; MongoDB as the internal databaseAutomationProject-level APIRevocable keys with Bearer authentication
ExecutionManual, scheduled or via URLDaily, weekly pipelines or on every deployment
The same policy and the same rules apply regardless of the integration mode and the database engine.
Use cases
A solution for different needs
Non-production environments
Protected, consistent data for development, QA, pre-production and other use scenarios, with controlled, on-demand provisioning.
See the use case →Regulatory compliance
Avoids exposing real personal data outside production and makes compliance assessment easier. With signed audit reports as evidence for GDPR, DORA, ISO 27001 and Chile's Law 21.719.
See the use case →Data delivery to vendors
Vendors and data processors receive usable data without receiving real data. Access is granted with a key that is revoked when the work is done, without slowing down the project.
See the use case →Data for analytics and AI
Anonymized or synthetic data to train and validate models without using real personal data, with data lineage and signed audit reports as evidence.
See the use case →Clients
What the teams that already use it say
Financial, insurance and public sector across Europe and Latin America.
“Gigantics lets me run software development processes without the risk of accessing confidential customer information, while keeping data integrity safe.”
CLCarlos LeónIT Manager · Lockton Mexico
“Gigantics combines technical reliability with a modern, accessible user experience. A tool for those who want to protect their data without compromising operational agility.”
JSJesús SobrinoDBA, Infrastructure Dept. · IMQ
Next step
Evaluate how to protect your data in your architecture
Analyze with our team how to identify, protect and make secure data available according to your sources, architecture and governance requirements.