And instead of providing static access to applications, enterprises rely on dynamic authorization techniques that require continual revalidation for persistent access. These identities\u2014which include artificial intelligence (AI) agents, application programming interfaces (APIs) and Kubernetes workloads\u2014can proliferate rapidly across tools and environments. The use of AI systems in enterprise networks has made applications and workloads more powerful than ever. Rather, zero trust requires planning and careful implementation across a broad range of functional areas, including identity and access policies, security solutions and workflows, automation, operations and network infrastructure. In the broadest sense, a zero trust security posture works by continuously verifying and authenticating connections between identities, applications, devices and data. In 2010, analyst John Kindervag of Forrester Research introduced the concept of \u201czero trust\u201d as a framework for protecting enterprise resources through rigorous access control.<\/p>\n<\/p>\n