{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/f1a484418e1346dc9d64281e546b4ba7\" frameborder=\"0\" width=\"1824\" height=\"1368\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1368,"width":1824,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1368,"thumbnail_width":1824,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/f1a484418e1346dc9d64281e546b4ba7-66fca35573bbb782.gif","duration":981.717,"title":"Matching Vanta Scoring to Your Methodology","description":"This Loom explains how Vanta’s scoring model can be configured to match a company’s risk scoring methodology. It introduces a three level model with inherent, current, and target risk, and shows how admins and editors can customize level names and definitions so residual assessments reflect progress during treatment. In an AWS outage scenario, inherent risk is scored at 16 and residual risk is assessed down to 4, with Vanta Agent recommending updated residual scores after tasks and controls are completed, including a case where residual risk reaches 12 and matches the target. It also demonstrates creating a custom agent workflow to reassess a risk when a linked vendor profile changes, triggered by events such as an AWS risk moving from high to critical."}