<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Jailbreak on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/jailbreak/</link><description>Recent content in Jailbreak 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/jailbreak/index.xml" rel="self" type="application/rss+xml"/><item><title>Jailbreaking and Evasion Techniques: Bypassing Safeguards</title><link>https://ai-blog.noorshomelab.dev/ai-security-guide-2026/jailbreaking-evasion/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/ai-security-guide-2026/jailbreaking-evasion/</guid><description>&lt;h2 id="introduction"&gt;Introduction&lt;/h2&gt;
&lt;p&gt;Welcome back, future AI security experts! In our last chapter, we delved into the world of Prompt Injection, where attackers try to manipulate an AI&amp;rsquo;s immediate instructions or context. Today, we&amp;rsquo;re taking on an even more insidious challenge: &lt;strong&gt;Jailbreaking and Evasion Techniques&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;Think of it this way: if prompt injection is like tricking a security guard into opening a specific door, jailbreaking is like finding a master key or a hidden passage to bypass the entire security system designed to keep certain areas strictly off-limits. These techniques aim to make AI models, especially Large Language Models (LLMs) and AI agents, generate content or perform actions that they were explicitly designed to avoid, often for malicious purposes. This directly relates to &lt;strong&gt;OWASP Top 10 for LLM Applications, LLM01: Prompt Injection&lt;/strong&gt; (which encompasses jailbreaks) and &lt;strong&gt;LLM02: Insecure Output Handling&lt;/strong&gt;.&lt;/p&gt;</description></item><item><title>AI Security Guide: Protecting Production Systems</title><link>https://ai-blog.noorshomelab.dev/ai-security-guide-2026/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/ai-security-guide-2026/</guid><description>&lt;p&gt;Welcome to this comprehensive guide on AI security. Here, you will explore critical vulnerabilities such as prompt injection, jailbreak attacks, data poisoning, and tool misuse, understanding their mechanisms and impact. This section provides the knowledge and strategies needed to protect AI systems and design robust, production-ready AI applications safely.&lt;/p&gt;</description></item></channel></rss>