Resources
Practical guides, examples and checklists for anonymising documents and complying with the General Data Protection Regulation.
The 10 requirements a public administration should review before hiring an AI anonymisation tool: data processor, no training, traceability, ENS and sector-specific expertise.
Uploading an original document to an AI tool already constitutes personal data processing: legal and technical safeguards must exist before the AI removes a single data point. We analyse Articles 4.2 and 28 GDPR, Spain's ENS framework and the safest architecture.
Algorithm accuracy is not enough: an anonymisation AI first processes the original document with all its personal data. Why ENS Medium should be the reasonable minimum threshold.
Transparency law, the National Security Framework and the GDPR overlap when a public body publishes documents. What each one requires, in practice.
Practical guide to anonymising a PDF: why covering text does not remove it, real redaction steps, metadata cleanup and when to automate.
The difference between anonymising and pseudonymising decides whether the GDPR still applies to your document. Definitions, comparison table and when to use each.
2026 guide on what document anonymisation is: legal definition under GDPR and AEPD, difference from redaction, valid techniques and when it is mandatory.
GDPR, ePrivacy and CCPA do not define anonymised data the same way. A comparison of the three frameworks and their practical requirements.
Clinical records, academic files and court filings are not anonymised the same way. This guide sets out the critical data and controls for each sector.
Black boxes, metadata, ID numbers, reversibility and provider requirements: the fifteen questions that come up most often, answered directly.
How to tell whether a redaction is real, and what to check before you publish.
Artificial intelligence increases the risk of re-identification. Anonymising before publishing, handing over or uploading a document to AI is the practical way to apply GDPR data minimisation.
Metadata exposes the author, the machine and the file history. How to check and strip it before you publish a PDF.
The question is not whether to anonymize everything, but whether you need to know the identity for the intended use. A guide by document type plus a checklist.
Cover with a rectangle, forget the metadata, publish the original in the same folder… The 10 most common mistakes when anonymizing and how to avoid them.
Fines, warnings and corrective measures: four real AEPD cases showing what happens when a document is published or shared without being anonymised.
Name and ID are only the start. Here's the full list of personal data you must remove before publishing any document.
A .docx stores much more than you see: tracked changes, comments, authors, versions. A guide to anonymizing Word with no trace left behind.
