{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/82e828a2431c4e87af55e88623fb8167\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/82e828a2431c4e87af55e88623fb8167-b10425a3a2ead9b6.gif","duration":369.813,"title":"Continuous GRC Intelligence With Trust Signals 🌐","description":"In this Loom, I share a blue ocean use case for Crux Data API with agent driven MCPs in GRC, specifically TPRM or Risk Intelligence Scan. I explain how GRC teams run quarterly cycles on manual spreadsheets, so by the time risks are flagged, it is already a problem. We built a continuous intelligence layer between real world signals and your GRC system to continuously validate what is true. I show a demo triggered by a TrustDataAPI webhook where an AI agent pulls external signals like funding rounds and headcount changes to surface operational and financial risk. No action was explicitly requested from viewers."}