Guides and resources

Guides to decide with confidence on sensitive data

Technical guides, whitepapers, reports and customer cases to plan how to protect and deliver data outside production.

Featured guide · Intermediate

The Definitive Guide to Secure Data Provisioning

Delivering data to development, testing, and analytics should not force a choice between speed and compliance. This guide explains how to structure a governed provisioning model: realistic data for your teams, without exposing sensitive information, with end-to-end traceability. What will you find in this guide? The 5 pillars: discovery and classification, audit, lineage, anonymization rules, and governed provisioning. Worked case: the full journey of a table containing personal data, from production to testing. Self-assessment: identify your organization's maturity level and where to invest next.

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GuideIntermediate

How to comply with Law 21.719 without slowing analytics, development and AI

Law 21.719 comes into full effect on December 1, 2026, and compliance shouldn't mean slowing down your analytics, development, or AI projects. This guide brings years of European GDPR experience into the Chilean context to address a risk that is rarely scrutinized: personal data living outside of production environments. What will you find in this guide? Key Obligations: What the law demands and how it impacts your technical teams. Risk Mitigation: How data anonymization allows you to keep leveraging information in development and testing environments without adding regulatory exposure. Self-Assessment: Evaluate in just 5 minutes how prepared your organization is today.

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GuideIntermediate

Building a Secure AI Data Pipeline

Learn how to provision realistic, anonymized data to every environment without exposing PII. A practical guide for Data Architects and DevOps teams on automating secure data pipelines — fully aligned with GDPR, DORA, HIPAA, and PCI DSS.

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WhitepaperAdvanced

Whitepaper: RACI Matrix—Auditable Evidence for Sensitive Data

Standardize sensitive data security with an operational whitepaper that includes an Environment-by-Environment RACI Matrix, Inspection Checklist, and Evidence Dossier. Learn how to enforce label-based policies consistently across environments, automate traceability (run ID, timestamp, dataset, outcome), and consolidate audit-ready evidence without impacting operations.

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GuideAdvanced

Data Anonymization: A Technical Guide

Master data anonymization and masking techniques. Ensure total privacy for your corporate information with certified, high-impact processes. Access the guide.

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ReportIntermediate

The Real Cost of a Data Breach: Sector Analysis & Prevention

Stay ahead of cyber threats. Analyze the latest trends, costs, and key insights from recent data breaches to strengthen your organizational resilience.

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Customer caseBasic

Insurance Use Case: Sensitive Data Protection

This use case shows how Gigantics helped a leading insurance company solve critical challenges such as PII exposure, database management bottlenecks, and regulatory compliance with GDPR and CCPA. Through automated data provisioning, intelligent classification of sensitive information, access control, and the use of custom functions for data anonymization, the company increased operational efficiency by 60% and reduced data provisioning times by 75%. Download the full use case and discover how to implement a modern, secure data governance approach—without slowing down your development workflows.

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GuideBasic

Top 5 Cloud Data Security Practices

Ensure the protection of your sensitive data in the cloud with the recommended security best practices for 2025. With this checklist, you will learn how to implement access controls, data encryption, and data governance policies. You will also be able to optimize database management in the cloud, comply with privacy regulations, and mitigate security risks. Download now and protect your data in the cloud efficiently and securely!

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GuideIntermediate

Auditing, Anonymizing & Protecting Your Database

Learn how to manage database security with effective auditing, anonymization and controls. Improve secure administration and compliance.

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