Blog

Analysis and practice on data security

Articles for data, QA and security teams that need to work with realistic data without exposing personal information.

Ley 21719 Chile9 min read

How to comply with Law 21.719 using data anonymization

Chile's Law 21.719 takes full effect on December 1, 2026. Learn how irreversible data anonymization keeps your environments out of scope and avoids fines.

Juan Rodríguez · Business Development @Gigantics

Data discovery6 min read

Data Discovery: How to Find Sensitive Data Across Your Systems

What data discovery is, how it locates sensitive and personal data across your systems, and what to look for in data discovery tools.

Sara Codarlupo · Marketing Specialist @Gigantics

SQL Server8 min read

How to Mask Data in SQL Server, Step by Step

Mask data in SQL Server step by step: what Dynamic Data Masking does, what it doesn't protect, and how to apply static masking for secure environments.

Rodrigo de Oliveira · CEO @Gigantics

Eu ai act training data requirements6 min read

EU AI Act Article 10 and Data Governance: Evidence Architecture for Training Datasets

Article 10 takes effect in August 2026. How to build the evidence architecture auditors will require — without rewriting your existing pipelines.

Rodrigo de Oliveira · CEO @Gigantics

CyberSummit266 min read

Real Data, Real Risk: Our Stance at the Cybersecurity Summit 2026

Why real data outside of production is a vulnerability: Key takeaways on anonymization, NIS2, and DORA following our presentation at CyberSummit2026.

Sara Codarlupo · Marketing Specialist @Gigantics

Claude Code12 min read

Claude Code in your pipeline: what happens to your sensitive data?

Is your AI agent exposing real user data? Explore the 6 critical security vectors of Claude Code in CI/CD pipelines and how to achieve regulatory compliance.

Rodrigo de Oliveira · CEO @Gigantics

Data Security5 min read

5 Reasons to Choose Gigantics as Your Data Security Platform

From automated PII discovery to signed audit reports — see why teams in regulated industries choose Gigantics to secure sensitive data across every operation.

Sara Codarlupo · Marketing Specialist @Gigantics

PII12 min read

PII: What Is Personally Identifiable Information and How to Protect It

Learn what PII is, how it's classified, where it hides in enterprise environments, and which protection techniques — masking, anonymization, pseudonymization — reduce breach exposure and regulatory risk.

Sara Codarlupo · Marketing Specialist @Gigantics

Data classification tools10 min read

5 Data Classification Tools Compared: Which One Fits Your Stack

Varonis, BigID, Purview, Forcepoint, Gigantics — compared by automation, compliance scope, and deployment model. Pick the right tool.

Juan Rodríguez · Business Development @Gigantics

Referential integrity5 min read

Referential integrity in data masking: how to preserve and validate relationships

Prevent broken relationships in masked datasets with dependency-aware sampling, collision control, and repeatable integrity checks.

Rodrigo de Oliveira · CEO @Gigantics
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