<?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/d901312e808e4273bbe2fd11176030aa&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/d901312e808e4273bbe2fd11176030aa-a186ed00735e339d.gif</thumbnail_url><duration>353.344</duration><title>Applying Security to Model Reports and AI Outputs 🔒</title><description>In this video, I demonstrate our best practices for applying security to model reports and AI-generated outputs using the EcoBikes stream. I show how to set up user-specific access, exemplified by restricting user Megan Lee to only view data for France, while I have full access to all regions. I also illustrate how both reports and AI queries respect these security settings, ensuring users only see the data they are authorized to access. I encourage you to implement these security measures in your own reports and AI interactions to maintain data integrity. Please take a moment to review your current security configurations and adjust them as necessary.</description></oembed>