<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Microsoft Presidio on Carles San Agustin</title><link>https://www.carlessanagustin.com/tags/microsoft-presidio/</link><description>Recent content in Microsoft Presidio on Carles San Agustin</description><generator>Hugo</generator><language>en-GB</language><lastBuildDate>Wed, 17 Jun 2026 10:00:00 +0000</lastBuildDate><atom:link href="https://www.carlessanagustin.com/tags/microsoft-presidio/index.xml" rel="self" type="application/rss+xml"/><item><title>The Privacy Layer Missing from Most AI Pipelines</title><link>https://www.carlessanagustin.com/posts/20260617-protecting-personal-data-ai-anonymization/</link><pubDate>Wed, 17 Jun 2026 10:00:00 +0000</pubDate><guid>https://www.carlessanagustin.com/posts/20260617-protecting-personal-data-ai-anonymization/</guid><description>&lt;blockquote&gt;
&lt;p&gt;Disclaimer: Yes, this post was created with the help of AI — why not?&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;Every message a user sends to your AI system is a small privacy risk in disguise. Names, phone numbers, email addresses — they travel along with the actual request, often ending up in logs, databases, and third-party services where they were never meant to go. I built a small service to solve this at the source: strip personal data from text before it moves anywhere.&lt;/p&gt;</description></item></channel></rss>