<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai-Agents on Rezak AZIZ | Cybersecurity and Infrastructure Engineer | PhD</title><link>https://rezakaziz.github.io/tags/ai-agents/</link><description>Recent content in Ai-Agents on Rezak AZIZ | Cybersecurity and Infrastructure Engineer | PhD</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Fri, 10 Apr 2026 15:17:01 +0200</lastBuildDate><atom:link href="https://rezakaziz.github.io/tags/ai-agents/index.xml" rel="self" type="application/rss+xml"/><item><title>Excessive Agency: Why Human-in-the-Loop Is Not Enough</title><link>https://rezakaziz.github.io/post/genai-security-excessive-agency/</link><pubDate>Fri, 10 Apr 2026 15:17:01 +0200</pubDate><guid>https://rezakaziz.github.io/post/genai-security-excessive-agency/</guid><description>Learn how excessive agency in LLMs and AI agents creates new security risks. This article explains how over-permissioned systems, prompt injection, and hidden data exfiltration can bypass human-in-the-loop controls, and explores key mitigation strategies aligned with OWASP and modern AI security practices.</description></item></channel></rss>