<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>PII Masking on Notes by Nisha</title><link>https://notesbynisha.com/tags/pii-masking/</link><description>Recent content in PII Masking on Notes by Nisha</description><generator>Hugo</generator><language>en</language><copyright>&amp;copy; 2026 Nisha</copyright><lastBuildDate>Sun, 13 Oct 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://notesbynisha.com/tags/pii-masking/index.xml" rel="self" type="application/rss+xml"/><item><title>Exploring Splunk Data Administration: Parsing, Event Line Breaking, and Data Privacy</title><link>https://notesbynisha.com/posts/2024-10-13-splunk-data-administration-parsing-phase/</link><pubDate>Sun, 13 Oct 2024 00:00:00 +0000</pubDate><guid>https://notesbynisha.com/posts/2024-10-13-splunk-data-administration-parsing-phase/</guid><description>&lt;p>As cybersecurity professionals, one of the key challenges we often face is the sheer volume of log data we need to analyze. Whether we&amp;rsquo;re hunting for anomalies, investigating security incidents, or just keeping an eye on our network’s health, efficiently processing log data is important. I recently had the opportunity to further explore Splunk Data Administration, specifically the &lt;strong>Parsing Phase&lt;/strong> and &lt;strong>Data Preview&lt;/strong>—two areas that fundamentally shape how Splunk processes incoming data and prepares it for analysis. In this post, I&amp;rsquo;ll share what I learned and how these skills relate to my daily work.&lt;/p></description></item></channel></rss>