<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Vulnerability-Discovery on CuraSec</title><link>https://curasec.metacog.co.kr/tags/vulnerability-discovery/</link><description>Recent content in Vulnerability-Discovery on CuraSec</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 19 Aug 2026 11:36:35 +0000</lastBuildDate><atom:link href="https://curasec.metacog.co.kr/tags/vulnerability-discovery/index.xml" rel="self" type="application/rss+xml"/><item><title>Google Shares AVDH: AI Agent Framework for Source Code Vuln Discovery</title><link>https://curasec.metacog.co.kr/insights/2026-08-19-staying-ahead-of-adversarial-ai-through-agentic-source-code/</link><pubDate>Wed, 19 Aug 2026 11:36:35 +0000</pubDate><guid>https://curasec.metacog.co.kr/insights/2026-08-19-staying-ahead-of-adversarial-ai-through-agentic-source-code/</guid><description>&lt;ul>
&lt;li>&lt;strong>Engineer — Learn:&lt;/strong> Google&amp;rsquo;s public description of their multi-agent orchestration approach for code vulnerability review (AVDH) is worth evaluating as a model for internal AppSec tooling, but no patch or configuration change is required — assess whether similar agentic pipelines fit your secure-SDLC program this quarter.&lt;/li>
&lt;li>&lt;strong>SOC/IR — Skip&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Leader — Learn:&lt;/strong> Google&amp;rsquo;s disclosure of their AI-driven code-review architecture offers benchmarking data for boards asking about AI investment in defensive security, but there is no immediate risk event or vendor exposure to address.&lt;/li>
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