One minute. Before you hand a single document to an AI, it genuinely pays to get the basics right, because one mislabeled term or one misunderstood black box can turn a sensible precaution into a false sense of safety. Pseudonymize or anonymize? How does it actually work? And why does redaction protect almost nothing? This guide answers. Calmly.
The key distinction
It all hinges here. Pseudonymization is reversible: it swaps the data for pseudonyms, keeps the matching key stored locally, and allows, when the time comes, a controlled re-identification. Anonymization is irreversible. No way back. Never confuse the two.
All the fundamentals
No jargon. Just the essential notions, laid out one by one and explained in plain words, so anyone knows what to protect, how and why before opening an AI. Promise.
All the articles in this guide
- Startups: using AI without burning customer trustPrivacy early costs far less than fixing it later.
- Anonymization and AI: frequently asked questionsPseudonymization, Enterprise, redaction, GDPR: clear answers.
- How pseudonymization worksTokens, key kept locally, ré-identification: the mechanism explained.
- Training your teams for safe AI useExplain the risk, give a clear rule and a simple tool.
- Anonymize a PDF before ChatGPT: the tutorialText or scanned PDF, redaction traps, the method that works.
- Redacting a document is not enoughThe black box leaves the text extractable. How to really mask.
- How much personal data is in a typical document?Order of magnitude by document type, and why it matters.
- Can you use ChatGPT with confidential documents?Consulting, M&A, HR, finance : pseudonymise → AI → restore.
- Pseudonymization or anonymization: what GDPR really saysArt. 4(5) vs recital 26 : why the right term matters before AI.
- Shadow AI: the numbers every leader should knowWhy bans fail and how to secure your teams' AI usage.