Infrastructure and network security
Machine learning security starts with the core infrastructure, including underlying compute, storage, and networking. When assessing infrastructure and network security of machine learning solutions, look for these critical qualifications: 1) the ability to isolate the network and keep data traffic across the various components of the workflow within secure private network connections; 2) the ability to control access, and, more specifically, to block inflow (ingress) and outflow (egress) of data and code from and to the internet; and 3) a tenancy model that provides isolation between user environments
