<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Large-Scale Applications on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/large-scale-applications/</link><description>Recent content in Large-Scale Applications on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 04 Jan 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/large-scale-applications/index.xml" rel="self" type="application/rss+xml"/><item><title>Chapter 15: Threat Modeling for Large-Scale Applications</title><link>https://ai-blog.noorshomelab.dev/web-security-ethical-hacking-2026/threat-modeling-large-apps/</link><pubDate>Sun, 04 Jan 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/web-security-ethical-hacking-2026/threat-modeling-large-apps/</guid><description>&lt;h2 id="introduction-to-proactive-security-with-threat-modeling"&gt;Introduction to Proactive Security with Threat Modeling&lt;/h2&gt;
&lt;p&gt;Welcome to Chapter 15! So far, we&amp;rsquo;ve explored many fascinating (and sometimes scary!) attack techniques and learned how to defend against them. But what if we could catch potential vulnerabilities &lt;em&gt;before&lt;/em&gt; any code is even written, or at least very early in the development cycle? That&amp;rsquo;s where &lt;strong&gt;Threat Modeling&lt;/strong&gt; comes in.&lt;/p&gt;
&lt;p&gt;In this chapter, we&amp;rsquo;re going to dive deep into threat modeling, a structured approach to identifying potential threats, vulnerabilities, and countermeasures within an application or system. For large-scale applications, with their intricate microservices, APIs, and distributed components, proactive security is not just a best practice—it&amp;rsquo;s a necessity. We&amp;rsquo;ll learn how to systematically break down complex systems, identify potential attack vectors, and design security controls right from the start.&lt;/p&gt;</description></item></channel></rss>