<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LLM on Formize.com Blog</title><link>https://blog.formize.com/tags/llm/</link><description>Recent content in LLM on Formize.com Blog</description><generator>Hugo</generator><language>en</language><atom:link href="https://blog.formize.com/tags/llm/index.xml" rel="self" type="application/rss+xml"/><item><title>Zero Trust Synthetic Data Governance Across Multi Cloud Environments</title><link>https://blog.formize.com/zero-trust-synthetic-data-governance/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://blog.formize.com/zero-trust-synthetic-data-governance/</guid><description>&lt;h1 id="zero-trust-synthetic-data-governance-across-multi-cloud-environments">Zero Trust Synthetic Data Governance Across Multi Cloud Environments&lt;/h1>
&lt;p>Synthetic data has become a cornerstone for training AI models while protecting privacy, but its value is only realized when it can flow securely across the complex tapestry of modern cloud infrastructures. Traditional perimeter‑based security models crumble under the weight of multi‑cloud deployments, containerized workloads, and serverless functions. A &lt;strong>zero‑trust&lt;/strong> approach—where every request is authenticated, authorized, and continuously verified—offers the missing piece for robust synthetic data governance.&lt;/p></description></item></channel></rss>