<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Codeql on CuraSec</title><link>https://curasec.metacog.co.kr/tags/codeql/</link><description>Recent content in Codeql on CuraSec</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 24 Aug 2026 13:10:29 +0000</lastBuildDate><atom:link href="https://curasec.metacog.co.kr/tags/codeql/index.xml" rel="self" type="application/rss+xml"/><item><title>ARQ: LLM-based framework auto-refines CodeQL queries for C/C++</title><link>https://curasec.metacog.co.kr/insights/2026-08-24-arq-agentic-codeql-query-refinement-for-c-c-vulnerability-de/</link><pubDate>Mon, 24 Aug 2026 13:10:29 +0000</pubDate><guid>https://curasec.metacog.co.kr/insights/2026-08-24-arq-agentic-codeql-query-refinement-for-c-c-vulnerability-de/</guid><description>&lt;ul>
&lt;li>&lt;strong>Engineer — Learn:&lt;/strong> Research showing an LLM-driven refinement loop can cut false positives and grow true positive rates by up to ~120% in CodeQL C/C++ queries without labeled datasets — worth tracking if your AppSec pipeline relies on CodeQL, but no action needed on running systems today.&lt;/li>
&lt;li>&lt;strong>SOC/IR — Skip&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Leader — Skip&lt;/strong>&lt;/li>
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