<?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/fc3dae3183874341850ce14c715f251e&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/fc3dae3183874341850ce14c715f251e-4074fc8166009803.gif</thumbnail_url><duration>85.085</duration><title>Navigating AI Risks: A Practical Guide for Teams 🤖</title><description>In this video, I introduce our series focused on providing clear, decision-ready guidance on AI risks and controls, aiming to accelerate value while managing downside risk. We will utilize the CIA triad—confidentiality, integrity, and availability—as a framework to explore how various risks impact data safety, output quality, and operational resilience. Each session will cover the AI life cycle, from problem framing to monitoring, ensuring that our controls are effectively placed. I encourage you to engage with the checklists and talking points provided to align your teams across legal, security, data, and product areas. In the next video, we will dive into a quick primer on the CIA triad.</description></oembed>