<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Prompt Injection on carney.wiki</title><link>https://carney.wiki/tags/prompt-injection/</link><description>Recent content in Prompt Injection on carney.wiki</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Thu, 05 Feb 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://carney.wiki/tags/prompt-injection/index.xml" rel="self" type="application/rss+xml"/><item><title>Prompt Injection Has Left the Chatbot</title><link>https://carney.wiki/blog/prompt-injection-has-left-the-chatbot/</link><pubDate>Thu, 05 Feb 2026 00:00:00 +0000</pubDate><guid>https://carney.wiki/blog/prompt-injection-has-left-the-chatbot/</guid><description>Prompt injection did not suddenly become dangerous.
We connected it to systems that matter.
For years, prompt injection was treated as a curiosity: a way to make a chatbot ignore rules, leak instructions, or say something awkward. Interesting for demos. Annoying in production. Easy to dismiss as a model behavior problem.
That framing is obsolete.
The recent reporting around ServiceNow AI agent vulnerabilities should make the shift clear. This is not just about a model getting confused.</description></item><item><title>How Prompt Injection Attacks Actually Work</title><link>https://carney.wiki/blog/how-prompt-injection-attacks-actually-work/</link><pubDate>Wed, 10 Dec 2025 00:00:00 +0000</pubDate><guid>https://carney.wiki/blog/how-prompt-injection-attacks-actually-work/</guid><description>Prompt injection is not a clever chatbot trick anymore.
It is one of the core security problems in AI systems.
The reason is uncomfortable: large language models do not reliably separate instructions from data. They interpret text. That text may come from a user, a document, a webpage, a support ticket, an email, a retrieved knowledge base article, or another AI system.
To a human, some of that text is obviously content.</description></item></channel></rss>