<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai-Inference on CuraSec</title><link>https://curasec.metacog.co.kr/tags/ai-inference/</link><description>Recent content in Ai-Inference on CuraSec</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 17 Aug 2026 13:03:16 +0000</lastBuildDate><atom:link href="https://curasec.metacog.co.kr/tags/ai-inference/index.xml" rel="self" type="application/rss+xml"/><item><title>P2Skill: PII-aware prompt routing for cloud-local LLM inference</title><link>https://curasec.metacog.co.kr/insights/2026-08-17-p2skill-privacy-preserving-skill-distillation-for-cloud-loca/</link><pubDate>Mon, 17 Aug 2026 13:03:16 +0000</pubDate><guid>https://curasec.metacog.co.kr/insights/2026-08-17-p2skill-privacy-preserving-skill-distillation-for-cloud-loca/</guid><description>&lt;ul>
&lt;li>&lt;strong>Engineer — Learn:&lt;/strong> Novel prompt-based technique for splitting LLM inference between local and cloud without leaking PII; worth tracking if you&amp;rsquo;re building hybrid AI pipelines, but no patch or config action required today.&lt;/li>
&lt;li>&lt;strong>SOC/IR — Skip&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Leader — Learn:&lt;/strong> Relevant background for leaders defining AI data governance policies around cloud LLM usage, but no immediate risk register or vendor action required.&lt;/li>
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