<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Anomaly Detection on Formize.com Blog</title><link>https://blog.formize.com/tags/anomaly-detection/</link><description>Recent content in Anomaly Detection on Formize.com Blog</description><generator>Hugo</generator><language>en</language><atom:link href="https://blog.formize.com/tags/anomaly-detection/index.xml" rel="self" type="application/rss+xml"/><item><title>Real Time Synthetic Data Access Auditing and Anomaly Detection with Formize</title><link>https://blog.formize.com/real-time-synthetic-data-auditing-with-formize/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://blog.formize.com/real-time-synthetic-data-auditing-with-formize/</guid><description>&lt;h1 id="real-time-synthetic-data-access-auditing-and-anomaly-detection-with-formize">Real Time Synthetic Data Access Auditing and Anomaly Detection with Formize&lt;/h1>
&lt;p>Synthetic data has become a cornerstone for training AI models, testing software pipelines, and sharing insights without exposing real‑world personal information. While synthetic data mitigates many privacy concerns, organizations still face strict regulatory expectations around &lt;strong>who accesses the data, when, and for what purpose&lt;/strong>. Traditional batch‑oriented audit logs are insufficient for modern, high‑velocity environments where data can be streamed to dozens of services in seconds.&lt;/p></description></item></channel></rss>