<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Genai-Privacy on CuraSec</title><link>https://curasec.metacog.co.kr/tags/genai-privacy/</link><description>Recent content in Genai-Privacy on CuraSec</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 21 Sep 2026 18:11:48 +0000</lastBuildDate><atom:link href="https://curasec.metacog.co.kr/tags/genai-privacy/index.xml" rel="self" type="application/rss+xml"/><item><title>Position Paper: Bridging GenAI Privacy Threats and Mitigations</title><link>https://curasec.metacog.co.kr/insights/2026-09-21-the-right-tool-for-the-job-on-the-selection-of-mitigations-f/</link><pubDate>Mon, 21 Sep 2026 18:11:48 +0000</pubDate><guid>https://curasec.metacog.co.kr/insights/2026-09-21-the-right-tool-for-the-job-on-the-selection-of-mitigations-f/</guid><description>&lt;ul>
&lt;li>&lt;strong>Engineer — Learn:&lt;/strong> Academic position paper identifying a gap between GenAI-specific privacy threat models and available mitigations — no patch or config change required, but the framework analysis is useful when evaluating privacy controls for systems that incorporate LLMs or other generative components.&lt;/li>
&lt;li>&lt;strong>SOC/IR — Skip&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Leader — Learn:&lt;/strong> Highlights that privacy threat modeling and mitigation selection for GenAI systems are maturing independently, creating coverage gaps — useful framing for AI governance strategy discussions, but no immediate regulatory deadline or vendor exposure to act on.&lt;/li>
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