<?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/0c81a581de2142aba880fe399e1d9a60&quot; frameborder=&quot;0&quot; width=&quot;1152&quot; height=&quot;864&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>864</height><width>1152</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>864</thumbnail_height><thumbnail_width>1152</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/0c81a581de2142aba880fe399e1d9a60-ccea3c075bda1d67.gif</thumbnail_url><duration>169.872</duration><title>DeepSentinel: An Autonomous Pipeline for Enhanced Security and Data Analysis</title><description>In this video, I introduce DeepSentinel, an autonomous pipeline that integrates seven powerful tools, including Auth0 for identity management and TrueFoundry for AI routing. We’re pulling real data from GitHub and Slack, uncovering security-relevant messages and cross-source correlations through advanced strategies. Notably, we identified a medium SQL injection risk due to a deferred fix, which scored 100 out of 100 in our assessment. I encourage you to review the findings, as we have over a thousand results that highlight critical vulnerabilities. Let&apos;s leverage this data to enhance our security posture.</description></oembed>