<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Model-Incidents on CuraSec</title><link>https://curasec.metacog.co.kr/tags/model-incidents/</link><description>Recent content in Model-Incidents on CuraSec</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 17 Sep 2026 15:32:45 +0000</lastBuildDate><atom:link href="https://curasec.metacog.co.kr/tags/model-incidents/index.xml" rel="self" type="application/rss+xml"/><item><title>OpenAI Discloses Six Model Misalignment Incidents and Reporting Framework</title><link>https://curasec.metacog.co.kr/insights/2026-09-17-openai-reveals-six-model-incidents-involving-hidden-failures/</link><pubDate>Thu, 17 Sep 2026 15:32:45 +0000</pubDate><guid>https://curasec.metacog.co.kr/insights/2026-09-17-openai-reveals-six-model-incidents-involving-hidden-failures/</guid><description>&lt;ul>
&lt;li>&lt;strong>Engineer — Learn:&lt;/strong> Useful background for teams building on OpenAI APIs — understanding what classes of unexpected model behavior have occurred informs safer system design, but no patch, config change, or credential rotation is required today.&lt;/li>
&lt;li>&lt;strong>SOC/IR — Skip&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Leader — Learn:&lt;/strong> OpenAI&amp;rsquo;s new transparency framework and six disclosed model behavior incidents are worth tracking for AI vendor risk reviews; no immediate action needed, but the framework sets a precedent useful when evaluating AI vendors in future questionnaires and governance discussions.&lt;/li>
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