Data Security Platform for every environment

Reduce risk and accelerate delivery with automation and transformations that preserve referential integrity, provide full traceability, and offer audit-ready evidence.

Schema

They trust us

Lockton
IMQ
CNP
Profesia
Oesía
itw
zint3ch

Reduce security incidents by up to 50%

Backed by centralized policies that minimize leaks and handling errors in sensitive data workflows

Access data 2× faster

From request to ready—secure, production-safe datasets delivered just-in-time for deployments, testing, and migrations

Operational efficiency

Fewer redundant copies and lower IT overhead, so teams focus on strategic projects instead of manual provisioning

Main challenges in data security

Manual data handling across cloud, on-premises, and non-production environments slows delivery and increases risk.

icon-img-gigantics

Sensitive data exposure

Without centralized control, confidential data becomes vulnerable, increasing the likelihood of security incidents.

icon-img-gigantics

High Costs from Breaches

The average cost of a breach exceeds $4 million, with impacts in large organizations that can climb above $10 million.

icon-img-gigantics

Bottlenecks and Delays

Inconsistent datasets in hybrid environments create bottlenecks that slow down your CI/CD pipelines, migrations, and releases.

Key capabilities

Gigantics is a data security platform that automates the detection and transformation of sensitive information. It enables environments to be provisioned with secure, compliant datasets—accelerating innovation, enabling cloud deployments, and facilitating AI model training.
01

AI-driven sensitive data discovery

Connect your databases and analyze the schema. Automatically detect personal information (PII), assess risk levels, and generate auditable reports.
02

Centralized rule definition

Define and enforce policies for anonymization, synthetic data generation, masking, and other operations. Tailor transformations to each use case, target system, and regulatory requirement, ensuring full control of the process.
03

Generate versioned datasets with referential integrity

Deliver realistic, consistent, protected data—ready for any environment without relying on production copies.
04

CI/CD integration & automated delivery

Embed data transformation into pipelines to enable continuous delivery of versioned datasets across environments.
Schema

Gigantics is the data security platform that covers the entire cycle: identification, transformation, and secure delivery.

Use cases

icon-img-gigantics

On-demand data for DevOps

Agile provisioning of secure datasets in non-production environments, accelerating releases and giving teams autonomy.

icon-img-gigantics

Simplified privacy and audit

Automate masking and anonymization policies to generate auditable data with full traceability, aligned with GDPR, NIS2, HIPAA, ISO 27001, and CCPA.

icon-img-gigantics

Validation and releases with consistent data

Referentially intact datasets that reduce migration and release risk, ensuring stable, trustworthy hybrid environments.

Just released

What Is Data Classification? Definition, Levels and Policy

What Is Data Classification? Definition, Levels and Policy

Data Security Compliance Guide: GDPR, NIS2 & ISO 27001

Data Security Compliance Guide: GDPR, NIS2 & ISO 27001

Data Security: Frameworks, Compliance & Best Practices

Data Security: Frameworks, Compliance & Best Practices