<?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/f93bb8d8c6f74f6a9e77c400357ff1d1&quot; frameborder=&quot;0&quot; width=&quot;1110&quot; height=&quot;832&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>832</height><width>1110</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>832</thumbnail_height><thumbnail_width>1110</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/f93bb8d8c6f74f6a9e77c400357ff1d1-7d79c9e2f3a3dcad.gif</thumbnail_url><duration>189.949</duration><title>Pretense AI Demo</title><description>In this video, I demonstrate how our healthcare application handles sensitive patient data using AI. When developers request code refactoring, the AI mutates identifiers like social security numbers and medical record numbers to protect privacy. The original names are restored seamlessly, ensuring developers never see the mutated data. I also highlight how our enterprise version tracks mutation coverage and developer usage. Please review the demo to understand the benefits of this system and how it enhances data security.</description></oembed>