An Increasing number of Apache Spark deployments are in Cloud and hybrid environments. This often means that Spark workloads are ephemeral but the data exists in a durable storage either in cloud and on-prem. The data also moves between cloud storage and on-prem. With this architecture in place, security and governance have become paramount to run Spark workloads across on-prem and cloud. In this keynote, we will walk through several issues and highlight a Spark workload running in an ephemeral cluster with security and governance across Cloud/On-Prem and how the same security and governance is shared with other workloads.