AI is scaling faster than governance. That gap is starting to show. Most organizations have made real progress deploying AI. Far fewer have built the systems needed to govern it. Data moves across platforms, vendors, and workflows faster than most teams can track. That creates real exposure in privacy, compliance, and accountability. This report looks at where governance is breaking down today and what leading organizations are doing differently. It covers the role of automation, the challenge of managing unstructured data, and the shift from fragmented controls to more integrated operating models. If AI is going to scale, governance has to scale with it. This report outlines what that looks like in practice. Featuring insights from enterprise data & AI leaders Lana DeMaria, Head of Data Governance & Privacy Nick Ritter, EVP & Chief Information Security Officer Shivanku Misra, Global Head of AI & Automation John Tucker, Global Director of Data & AI Governance Views expressed are those of the individual contributors and do not necessarily reflect the views of their organizations.
