Kubernetes RBAC Generator
Build least-privilege Roles, ClusterRoles, and bindings — export ready-to-apply YAML
Role definition
Required for Role metadata.namespace.
Presets
Apply a starting ruleset (replaces current rules).
Policy rules
Binding
RoleBinding metadata.namespace. Often matches the Role namespace.
Manage Kubernetes access with OnePAM
OnePAM proxies Kubernetes API access with user impersonation, kubectl exec session recording, and short-lived kubeconfig generation. No direct cluster exposure needed.
Frequently Asked Questions
Kubernetes RBAC, least privilege, and securing cluster access
What is Kubernetes RBAC?
Kubernetes Role-Based Access Control (RBAC) decides who can perform which actions on which resources in a cluster. It uses Roles or ClusterRoles to define permissions (rules with API groups, resource types, and verbs) and RoleBindings or ClusterRoleBindings to attach those permissions to users, groups, or service accounts. RBAC is enforced by the API server on every request.
What is the difference between Role and ClusterRole?
A Role is namespaced: it only grants access to resources inside one namespace. A ClusterRole is cluster-scoped: it can grant access to cluster-wide resources (such as nodes or cluster-scoped CRDs) or to resources across all namespaces. You can bind a ClusterRole inside a single namespace using a RoleBinding if you want cluster-defined permissions limited to one namespace.
How should I apply least privilege in Kubernetes?
Grant the narrowest verbs (for example get, list, watch instead of wildcard), limit resource types to what the workload truly needs, prefer Roles in application namespaces over cluster-wide ClusterRoles, and use RoleBindings where possible. Split duties across multiple roles, avoid binding powerful ClusterRoles to human users by default, and review bindings regularly. Test with dry-run and audit logs before broad rollout.
What are the most common Kubernetes RBAC mistakes?
Common mistakes include using cluster-admin or wildcard verbs for convenience, granting secret access when not required, reusing overly broad service account tokens, binding ClusterRoles cluster-wide when a namespaced Role would suffice, forgetting that read access to Secrets exposes credentials, and misconfiguring subject namespaces for service accounts. Another frequent issue is stale bindings after role renames or namespace deletion.
How does OnePAM secure Kubernetes access?
OnePAM acts as a control layer for privileged access: it can proxy Kubernetes API traffic with user impersonation so clusters do not hand out long-lived admin kubeconfigs broadly, support session recording for sensitive kubectl flows such as exec, and issue short-lived kubeconfig credentials tied to policy. That reduces direct cluster exposure and improves accountability compared to shared static credentials.