Democratizing FinOps with Wiz: Driving Cost Attribution with the Wiz Service Catalog

When you look at a cloud bill, you are looking at the combined output of decisions made by developers, platform engineers, and SREs across your organization. With the rapid adoption of generative AI workloads, developers also directly drive model inference, token usage, and dynamic resource consumption. Because engineering choices directly dictate cloud and AI spend, democratizing cost accountability is key to operationalizing a successful FinOps program. In traditional setups, central FinOps or finance teams receive monthly bills, spot anomalies and potential optimization opportunities, and spend weeks chasing engineering teams to investigate and make adjustments. True accountability requires attributing spend directly back to the teams building infrastructure and applications. The goal is to empower these teams to make informed decisions…