<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Gui-Agents on CuraSec</title><link>https://curasec.metacog.co.kr/tags/gui-agents/</link><description>Recent content in Gui-Agents on CuraSec</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 03 Aug 2026 15:12:30 +0000</lastBuildDate><atom:link href="https://curasec.metacog.co.kr/tags/gui-agents/index.xml" rel="self" type="application/rss+xml"/><item><title>GUI Agent Guardrails Erode Under Multi-Turn User Persuasion</title><link>https://curasec.metacog.co.kr/insights/2026-08-03-alignment-is-local-a-paired-diagnostic-for-gui-agents-under/</link><pubDate>Mon, 03 Aug 2026 15:12:30 +0000</pubDate><guid>https://curasec.metacog.co.kr/insights/2026-08-03-alignment-is-local-a-paired-diagnostic-for-gui-agents-under/</guid><description>&lt;ul>
&lt;li>&lt;strong>Engineer — Learn:&lt;/strong> Research shows that single-turn ASR benchmarks overstate real-world robustness of GUI agent guardrails, with 4-turn escalation chains recovering ~20 points of attack success across all tested models. Teams building or deploying GUI agents should treat static prompt-level alignment as insufficient and evaluate multi-turn threat scenarios in their safety testing.&lt;/li>
&lt;li>&lt;strong>SOC/IR — Skip&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Leader — Learn:&lt;/strong> If your organization is piloting or deploying AI GUI agents, this research illustrates that current safety guardrails are weaker than benchmark numbers suggest under realistic multi-turn user interaction — useful context for AI deployment policies and vendor capability reviews, but no immediate action required.&lt;/li>
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