<?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/d7f9b8c7ef5c4c908f774dd2e109d929&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/d7f9b8c7ef5c4c908f774dd2e109d929-5856730292142aa8.gif</thumbnail_url><duration>218.046</duration><title>Evidence Tracer Agent MVP</title><description>In this video, I showcase the MVP of our SOC 2 Evidence Tracer agent, which connects directly to AWS and provides insights into security controls, recommendations, and audit risks. I created a demo using a sample AWS account with fake users and roles to illustrate how it analyzes evidence items and generates gap detection scores. The reporting features, including the SOC 2 Readiness Report and Executive Summary, are designed to save time by automating policy writing. I also highlight upcoming features like a human-in-the-loop editing layer and agentic remediation suggestions. Please take a look at the demo and provide feedback on the functionalities presented.</description></oembed>