{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/b27cf993eed14294b050a2ea99f17561\" frameborder=\"0\" width=\"1584\" height=\"1188\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1188,"width":1584,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1188,"thumbnail_width":1584,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/b27cf993eed14294b050a2ea99f17561-076efa1ff3b43218.gif","duration":616.365,"title":"Coverbase x P&amp;G 03 - Evidence-Based Assessments","description":"This Loom explains how to run evidence-based vendor risk assessments in CoverBase’s Risk Assessment Co-Pilot. It starts with editing or accepting AI-suggested inherent risk during vendor onboarding, then launches a standard risk assessment that can be scoped to selected services and automatically opens a vendor outreach portal with a due date and branded email invites from the customer. Vendors upload documents, which are classified by in-browser machine learning to match assessment requirements, and can answer customized questionnaires with optional AI autofill. CoverBase evaluates controls using a library of 50 control types across multiple domains, produces a draft assessment, and lets reviewers review and create follow-ups for issues identified by AI before exporting results in multiple formats."}