The pandemic has accelerated digital transformation and telework on a scale never seen before. Employees are working from anywhere and collaboration in the cloud has skyrocketed. But this new environment has expanded the cyber attack surface, compromising critical U.S. infrastructure and lives of our citizens. The recent slew of major cyber attacks including SolarWinds, Microsoft Exchange and Colonial Pipeline, has moved cybersecurity improvements to the top of the agenda for the U.S.

This is the third in a series of posts examining the recent Devo research report, Beyond Cloud Adoption: How to Embrace the Cloud for Security and Business Benefits, which is based on a survey conducted by Enterprise Strategy Group (ESG). This time, we’ll take a look at the cloud-computing security challenges Cloud Evangelists face. Let’s begin by explaining how we define that group.

At Elastic, we internally use, test, and provide feedback on all of our products. For example, the Information Security team is helping the Product team build a stronger solution for our customers. The InfoSec team is an extremely valuable resource who acts not only as an extension of Quality Assurance/Testing, but also as a data custodian.

Microsoft has discovered a new large-scale attack targeting Kubeflow instances to deploy malicious TensorFlow pods, using them to mine Monero cryptocurrency in Kubernetes cluster environments. Kubeflow is a popular open-source framework often used for running machine learning tasks in Kubernetes. TensorFlow, on the other hand, is an open-source machine learning platform used for implementing machine learning in a Kubernetes environment.