<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>DLP on Sammy Farida</title><link>https://me.itsecurity.network/tags/dlp/</link><description>Recent content in DLP on Sammy Farida</description><generator>Hugo -- 0.147.3</generator><language>en</language><lastBuildDate>Sun, 24 Aug 2025 11:31:50 -0400</lastBuildDate><atom:link href="https://me.itsecurity.network/tags/dlp/index.xml" rel="self" type="application/rss+xml"/><item><title>The Hidden Cost of Bad Data Classification</title><link>https://me.itsecurity.network/blog/the-hidden-cost-of-bad-data-classification/</link><pubDate>Sun, 24 Aug 2025 11:31:50 -0400</pubDate><guid>https://me.itsecurity.network/blog/the-hidden-cost-of-bad-data-classification/</guid><description>How poor data classification undermines security investments, creates costly false positives, and leaves critical information vulnerable. Learn a practical framework for implementing effective data classification.</description></item><item><title>Synthetic Data Hub</title><link>https://me.itsecurity.network/projects/synthetic-data-hub/</link><pubDate>Fri, 14 Mar 2025 23:30:20 -0400</pubDate><guid>https://me.itsecurity.network/projects/synthetic-data-hub/</guid><description>&lt;h2 id="-synthetic-data-hub">🛠️ Synthetic Data Hub&lt;/h2>
&lt;p>What is a &lt;strong>Synthetic data&lt;/strong>: Artificially generated data rather than produced by real-world events. Typically created using algorithms, synthetic data can be deployed to validate mathematical models and to train machine learning models.&lt;/p>
&lt;p>Data generated by a computer simulation can be seen as synthetic data. This encompasses most applications of physical modeling, such as music synthesizers or flight simulators. The output of such systems approximates the real thing, but is fully algorithmically generated.&lt;/p></description></item></channel></rss>