Articles and news

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

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.

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

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

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.

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

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.

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

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

Meet DORA requirements with secure data controls across environments: transformation policies, traceability, and third-party ICT risk management.