<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Emerging-Threats on it-learn.io | IT, Networking &amp; Cybersecurity Blog</title><link>https://blog.it-learn.io/tags/emerging-threats/</link><description>Recent content in Emerging-Threats on it-learn.io | IT, Networking &amp; Cybersecurity Blog</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 04 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.it-learn.io/tags/emerging-threats/index.xml" rel="self" type="application/rss+xml"/><item><title>Prompt Injection: Making AI Do Things It Shouldn't</title><link>https://blog.it-learn.io/posts/2026-05-04-prompt-injection-attacks-making-ai-do-what-it-shouldnt/</link><pubDate>Mon, 04 May 2026 00:00:00 +0000</pubDate><guid>https://blog.it-learn.io/posts/2026-05-04-prompt-injection-attacks-making-ai-do-what-it-shouldnt/</guid><description>&lt;p&gt;Prompt injection is the SQL injection of the AI era. Just as early web developers discovered that user-supplied strings could be interpreted as SQL commands rather than data, AI application developers are learning the same lesson about natural language: text that flows through an LLM is both content and potential instruction. An attacker who can influence any text the model processes can influence what the model does.&lt;/p&gt;
&lt;p&gt;The stakes have risen significantly as LLMs have gained agency — the ability to call APIs, browse the web, send emails, execute code, and interact with databases. An injection that simply made a chatbot say something embarrassing has evolved into an injection that exfiltrates data, sends unauthorized emails, or compromises entire multi-agent pipelines.&lt;/p&gt;</description></item></channel></rss>