<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data Security on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/data-security/</link><description>Recent content in Data Security on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/data-security/index.xml" rel="self" type="application/rss+xml"/><item><title>Anonymization</title><link>https://terms-en.ai-term-hub.com/en/terms/anonymization/</link><pubDate>Sat, 18 Jul 2026 09:45:50 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/anonymization/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Anonymization involves modifying data so that it can no longer be associated with a specific individual without additional information. This technique is critical in machine learning when handling sensitive personal data, ensuring compliance with regulations like GDPR. Methods include generalization, suppression, and noise addition. While it enhances privacy, effective anonymization must balance utility with risk, as re-identification attacks can sometimes reverse the process if not properly implemented.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>The process of removing personally identifiable information from datasets to protect individual privacy.&lt;/p></description></item></channel></rss>