The Tool Desk
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Start with the agent’s actions, not a role name
Kubernetes RBAC authorizes an identity to perform specified verbs on API resources. To find the minimum policy, translate each action an agent can take into four details: the API group, resource or subresource, verb, and target namespace. For example, an agent that only reports on Pods might need to read Pods; one that changes deployments needs additional write permissions. Do not grant those write permissions just because they might be useful later.
This inventory is specific to the agent and cluster, not an official Kubernetes permission profile for AI. Custom resources, installed APIs, controllers, admission policies, and the agent’s enabled tools can all affect the appropriate policy. Kubernetes recommends granting each ServiceAccount only the permissions its workload requires in its Service Accounts documentation.
- For each tool, identify the Kubernetes API call or calls it can trigger.
- Record the API group, resource or subresource, verb, and namespace for each call.
- Exclude operations the agent cannot perform, including speculative future features.
Give the workload its own identity
A Role grants permissions; it does not identify the agent. The Pod needs a ServiceAccount identity, and a RoleBinding connects that identity to a Role. If a Pod does not specify a ServiceAccount, Kubernetes assigns the namespace’s default ServiceAccount. Use a workload-specific account instead of sharing a broad identity with unrelated applications. The Kubernetes Application Security Checklist specifically recommends creating ServiceAccounts for individual workloads or microservices rather than using default.
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Set spec.serviceAccountName on the agent’s Pod template. For a Deployment, that field belongs under spec.template.spec, not on the Deployment’s top-level specification. The RoleBinding must refer to the ServiceAccount in the namespace where that account exists.
Choose the narrowest scope and permissions
Use a namespace-scoped Role when the agent’s work can stay in one namespace, and bind it there with a RoleBinding. A RoleBinding can also reference a ClusterRole while limiting that grant to its own namespace. Use cluster-wide access only when the task genuinely requires it; a ClusterRoleBinding grants access across the cluster for the permissions in the referenced role.
| Choice | Scope of grant | When it fits |
|---|---|---|
| Role with RoleBinding | Resources in the RoleBinding’s namespace | The agent can do its job within one namespace. |
| ClusterRole with RoleBinding | Resources in the RoleBinding’s namespace, using permissions defined by a ClusterRole | A reusable ClusterRole’s rules are appropriate, but the agent should still be limited to one namespace. |
| ClusterRole with ClusterRoleBinding | Cluster-wide scope for the granted permissions | Only when the agent’s required task truly spans the cluster. |
In each rule, specify only the necessary apiGroups, resources (including a subresource where needed), and verbs. Avoid * wildcards: they can include APIs, resources, or operations beyond the agent’s present task. A verb such as get is not inherently harmless; its effect depends on the resource and subresource.
Illustrative namespace-only policy
This example is for an agent whose only Kubernetes API task is listing and retrieving Pods in the agent-work namespace. It grants no create, update, delete, Secret, or cluster-wide access. Change the rules only when the agent’s actual tools require different operations.
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apiVersion: v1
kind: ServiceAccount
metadata:
name: pod-reporter
namespace: agent-work
---
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
name: pod-reporter
namespace: agent-work
rules:
- apiGroups: [""]
resources: ["pods"]
verbs: ["get", "list"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
name: pod-reporter
namespace: agent-work
subjects:
- kind: ServiceAccount
name: pod-reporter
namespace: agent-work
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: Role
name: pod-reporter
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: agent
namespace: agent-work
spec:
selector:
matchLabels:
app: agent
template:
metadata:
labels:
app: agent
spec:
serviceAccountName: pod-reporter
containers:
- name: agent
image: example/agent:replace-with-your-imageThe image value is an example placeholder, not a recommended or verified image. The permission rules are the substantive part: if the agent needs to watch Pods, create another resource, or use another API group, first establish that need and add only the corresponding rule.
Do not assume built-in roles are minimal
Convenient role names do not guarantee a suitable policy for an agent. Kubernetes’ built-in view role excludes Secrets, while edit can access Secrets and run Pods as any ServiceAccount in the namespace. The built-in admin role can create roles and bindings within its namespace. Those differences can materially broaden what an agent or workload can reach.
Prefer a purpose-built Role when the required operations are known. If using a built-in role or ClusterRole, inspect its effective rules and the scope of its binding rather than inferring access from the name.
Review indirect access and escalation paths
Some permissions have consequences beyond their apparent API action. Evaluate whether the agent’s direct permissions could expose credentials, let it run a more privileged workload, or change who has access.
- Secrets:
getreads Secret contents.listandwatchcan also disclose contents in returned objects. A Secret may contain credentials that can be used to access another identity. - Creating workloads: permission to create Pods or workload controllers can let a principal run a Pod using another ServiceAccount in the namespace, or gain access to namespace resources such as Secrets, ConfigMaps, and PersistentVolumes. Namespace boundaries help scope access, but are not strong isolation from principals who can create workloads. Separate trust levels into different namespaces and apply Pod Security controls where appropriate.
nodes/proxy: access to this subresource can reach privileged kubelet APIs, including operations to retrieve logs or execute and attach to Pod processes. Thegetverb does not make this a read-only grant.- RBAC administration:
escalateandbindcan bypass RBAC protections. Avoid permissions to manage roles or bindings unless that is an explicit, tightly controlled requirement. - Other elevated controls: review impersonation, ServiceAccount token requests, certificate-signing requests, admission webhook configuration, PersistentVolume creation, and namespace-label modification. These capabilities can extend access beyond an apparently narrow task.
RBAC constrains which Kubernetes API operations an identity may make; it does not control what an AI agent chooses to do with the operations it is allowed. Limit API capabilities, and use workload, admission, and cluster controls to address risks around the agent’s execution.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Limit ServiceAccount token exposure
If the workload does not need Kubernetes API access, set automountServiceAccountToken: false for the Pod. If it does need API access, avoid relying on static, long-lived bearer tokens stored as Secrets when a short-lived token mechanism is appropriate. Kubernetes v1.22 and later provide Pods with short-lived, automatically rotating ServiceAccount tokens; Kubernetes recommends TokenRequest or projected tokens over static long-lived Secret tokens. Confirm the target cluster’s version and provider configuration before relying on version-specific behavior.
Validate the policy against the target cluster
Before relying on a policy, check it against the cluster’s actual Kubernetes version, enabled APIs, authorization configuration, admission controls, and installed custom resources. Confirm both sides of the policy: the agent’s intended actions succeed, and unneeded actions are denied. Review bindings periodically so that obsolete access or escalation paths do not remain in place.
Quick Recap
- Apply the dedicated ServiceAccount, Role, and RoleBinding in the intended namespace.
- Set that ServiceAccount on the agent’s Pod template and decide whether token mounting is required.
- Exercise the agent’s intended Kubernetes operations in the target environment.
- Check that sensitive or out-of-scope operations are rejected, then revisit the rules when tools or cluster APIs change.
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