<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/4bae0921aba14bf587c0ad9192696bc9&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/4bae0921aba14bf587c0ad9192696bc9-327c211266c6d30c.gif</thumbnail_url><duration>59.964</duration><title>Code Jury for Independent PR Security Review</title><description>This Loom explains how Code Jury reduces risk when AI-generated code is merged by using a zero-trust, multi-agent review process. It sends one PR link to four fetch AI agents, with an orchestrator that detects the auth code and fires only the required two independent agents for correctness and security. Each agent reads only the spec, not the code, to keep their reviews independent. In an example, four defects were found, including two critical IDORs independently caught by both agents and one query bug, with proof for every finding.</description></oembed>