<?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/1d5dafd214bb459aad180243dd04bc8b&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/1d5dafd214bb459aad180243dd04bc8b-bf38ace6654367dd.gif</thumbnail_url><duration>216.875</duration><title>How to Trust AI Agents with iFixAI</title><description>This Loom explains how to trust AI agents using iFixAI’s independent auditing for operational alignment and assurance. Dimitris co-founder of iFixAI addresses concerns that agents could behave unexpectedly or hijack other companies, referencing an OpenAI issue involving HuggingFish. The process takes three steps: connect agents via GitHub or MCP, create a simulation environment from the agent’s GitHub workflows, roles, rules, permissions, and tools, then run inspections using more than 250 misalignment checks across over 33 categories. iFixAI delivers operational assurance and regulatory compliance reports, mapped to regulations and certifications such as the EU AI Act, NIST, and ISO, and provides a badge indicating independent audit.</description></oembed>