<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Auditing on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/auditing/</link><description>Recent content in Auditing on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 20 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/auditing/index.xml" rel="self" type="application/rss+xml"/><item><title>Securing and Governing LLM Deployments</title><link>https://ai-blog.noorshomelab.dev/llmops-ai-infra-guide-2026/securing-governing-llm-deployments/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/llmops-ai-infra-guide-2026/securing-governing-llm-deployments/</guid><description>&lt;h2 id="introduction"&gt;Introduction&lt;/h2&gt;
&lt;p&gt;Welcome to Chapter 11! So far, we&amp;rsquo;ve explored the exciting world of LLM inference, from building robust pipelines to optimizing for cost and scale. We&amp;rsquo;ve learned how to get our powerful language models up and running efficiently. But what good is a powerful system if it&amp;rsquo;s not secure, compliant, and trustworthy? In the real world, deploying LLMs isn&amp;rsquo;t just about performance; it&amp;rsquo;s crucially about protecting sensitive data, ensuring fair and ethical use, and adhering to legal and regulatory standards.&lt;/p&gt;</description></item><item><title>Chapter 16: Logging, Auditing, and Compliance in Network Security</title><link>https://ai-blog.noorshomelab.dev/network-security-analysis-2025/chapter-16-logging-auditing/</link><pubDate>Tue, 23 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/network-security-analysis-2025/chapter-16-logging-auditing/</guid><description>&lt;h2 id="introduction-your-networks-eye-witness-and-report-card"&gt;Introduction: Your Network&amp;rsquo;s Eye-Witness and Report Card&lt;/h2&gt;
&lt;p&gt;Welcome back, future network security guru! In our journey so far, we&amp;rsquo;ve built strong firewalls, understood network segmentation, and even delved into the intricacies of DNS and packet analysis. But what happens &lt;em&gt;after&lt;/em&gt; you&amp;rsquo;ve set up all these defenses? How do you know if they&amp;rsquo;re working? How do you detect an attack that manages to slip through, or prove that your systems are secure to the outside world?&lt;/p&gt;</description></item></channel></rss>