<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Zero Trust Security on Formize.com Blog</title><link>https://blog.formize.com/categories/zero-trust-security/</link><description>Recent content in Zero Trust Security on Formize.com Blog</description><generator>Hugo</generator><language>en</language><atom:link href="https://blog.formize.com/categories/zero-trust-security/index.xml" rel="self" type="application/rss+xml"/><item><title>Zero Trust Synthetic Data Access Control and Auditing with Formize</title><link>https://blog.formize.com/zero-trust-synthetic-data-access-control-and-auditing-with-f/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://blog.formize.com/zero-trust-synthetic-data-access-control-and-auditing-with-f/</guid><description>&lt;h1 id="zero-trust-synthetic-data-access-control-and-auditing-with-formize">Zero Trust Synthetic Data Access Control and Auditing with Formize&lt;/h1>
&lt;p>Synthetic data has become a cornerstone for AI development, enabling organizations to train models without exposing real‑world personal information. Yet, the very nature of synthetic data—derived from sensitive source datasets—creates a paradox: it must be both &lt;strong>useful&lt;/strong> and &lt;strong>secure&lt;/strong>. Traditional perimeter‑based security models fall short because they assume a trusted internal network, an assumption that no longer holds in modern, cloud‑first environments.&lt;/p></description></item></channel></rss>