<?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/deba290d5bbe484d9c08340cd78b7496&quot; frameborder=&quot;0&quot; width=&quot;1814&quot; height=&quot;1360&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1360</height><width>1814</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1360</thumbnail_height><thumbnail_width>1814</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/deba290d5bbe484d9c08340cd78b7496-93c1958bf59c5426.gif</thumbnail_url><duration>108.938</duration><title>AI-Driven Hybrid Cybersecurity Audits for Non-Governance IT Systems 🔒</title><description>Hello, I&apos;m Mohamed Wanness from Team 14, and I&apos;m excited to share our project on AI-driven hybrid cybersecurity audit frameworks for non-governance IT systems. We are currently designing a proof-of-concept prototype that will help small and medium private organizations conduct scalable cybersecurity audits with limited resources. Our research objectives include feasibility, compliance mapping, evaluation, and providing recommendations for future steps. I encourage you to engage with our findings as we progress, and I look forward to presenting our final report and prototype soon.</description></oembed>