<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Privacy Impact Assessment on Formize.com Blog</title><link>https://blog.formize.com/tags/privacy-impact-assessment/</link><description>Recent content in Privacy Impact Assessment on Formize.com Blog</description><generator>Hugo</generator><language>en</language><atom:link href="https://blog.formize.com/tags/privacy-impact-assessment/index.xml" rel="self" type="application/rss+xml"/><item><title>Automated Real Time Synthetic Data Privacy Impact Assessment with Formize</title><link>https://blog.formize.com/real-time-synthetic-data-pia-automation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://blog.formize.com/real-time-synthetic-data-pia-automation/</guid><description>&lt;h1 id="automated-realtime-synthetic-data-privacy-impact-assessment-with-formize">Automated Real‑Time Synthetic Data Privacy Impact Assessment with Formize&lt;/h1>
&lt;p>Synthetic data has become a cornerstone for accelerating AI development while protecting raw personal information. Yet, regulators worldwide are tightening the rules around &lt;strong>privacy impact assessments (PIA)&lt;/strong>, demanding that organizations demonstrate not only that synthetic data is “privacy‑preserving” but also that the &lt;strong>risk profile&lt;/strong> is continuously monitored.&lt;/p>
&lt;p>Formize, the low‑code compliance engine, is uniquely positioned to turn a traditionally manual, periodic PIA into a &lt;strong>real‑time, automated assurance workflow&lt;/strong>. In this article we will:&lt;/p></description></item></channel></rss>