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The safest Kubernetes configuration for an AI agent is layered: give it a dedicated identity with a namespace-scoped Role, disable credentials it does not need, enforce Pod Security Admission, default-deny network traffic, reject unsafe manifests at admission, isolate powerful workloads, cap resource use, and audit every policy and authorization change. No single control is a sandbox. RBAC limits Kubernetes API actions, NetworkPolicy limits connectivity, and pod-security and admission controls constrain what a workload may ask the cluster to run.
1. Give every agent a narrow identity
Create one ServiceAccount for each agent or trust domain. Do not let an agent use the namespace’s default account, and do not share one account between agents with different duties. A dedicated identity makes access reviews and incident response attributable.
Use a namespaced Role and RoleBinding
Start with the smallest set of resources and verbs the agent actually needs. A Role is limited to one namespace; a RoleBinding grants that Role to the selected ServiceAccount in that namespace. This is safer than a ClusterRoleBinding, which can expose cluster-wide resources.
apiVersion: v1
kind: ServiceAccount
metadata:
name: agent-runtime
namespace: ai-agents
---
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
name: agent-reader
namespace: ai-agents
rules:
- apiGroups: ['']
resources: ['configmaps']
verbs: ['get', 'list', 'watch']
- apiGroups: ['']
resources: ['pods']
verbs: ['get', 'list', 'watch']
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
name: agent-reader
namespace: ai-agents
subjects:
- kind: ServiceAccount
name: agent-runtime
namespace: ai-agents
roleRef:
kind: Role
name: agent-reader
apiGroup: rbac.authorization.k8s.ioThe resources in this example are illustrative; remove any rule the agent does not need and add only a documented requirement. Avoid wildcard resources and verbs. In particular, do not grant broad write access merely because an agent might need to inspect objects. Separate read and write identities when possible.
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Treat escalation-capable permissions as exceptional
Review any request for impersonate, serviceaccounts/token, certificate approval or signing, webhook configuration, namespace-label mutation, or workload creation as high risk. Those permissions can enable privilege escalation or bypass another policy layer. If an agent must create workloads, constrain the namespaces, resource types, and admission rules that apply to those workloads, and test the resulting path rather than assuming the Role is safe.
“Ideally, minimal RBAC rights should be assigned to users and service accounts.” — Kubernetes project, Role Based Access Control Good Practices.
2. Remove service-account credentials unless the API is required
Set automountServiceAccountToken: false on the ServiceAccount or workload by default. This prevents a token from being mounted into a compromised container that only needs to process data or call an external service.
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kind: ServiceAccount
metadata:
name: agent-runtime
namespace: ai-agents
automountServiceAccountToken: false
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: agent
namespace: ai-agents
spec:
template:
spec:
serviceAccountName: agent-runtime
automountServiceAccountToken: false
containers:
- name: agent
image: registry.example/agent:approvedIf Kubernetes API access is genuinely needed, mount a projected service-account token instead of relying on a long-lived, automatically mounted credential. Set an explicit audience, use a short lifetime appropriate to the task, and grant only the matching API verbs. Keep automounting disabled for every other pod that uses the same namespace.
3. Enforce Pod Security Admission in the agent namespace
Pod Security Admission (PSA) works at namespace scope and provides three levels: privileged, baseline, and restricted. Restricted is the strongest built-in baseline for ordinary workloads because it excludes more host access, capabilities, and unsafe settings. Baseline is a migration step when existing manifests cannot yet satisfy Restricted.
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Use warn and audit while you identify non-compliant manifests, then switch enforce to Restricted after the agent’s pod template passes. Keep the levels aligned so operators see violations before enforcement.
apiVersion: v1
kind: Namespace
metadata:
name: ai-agents
labels:
pod-security.kubernetes.io/warn: restricted
pod-security.kubernetes.io/audit: restricted
pod-security.kubernetes.io/enforce: restrictedIf Restricted blocks a required behavior, document the exact setting, determine whether the behavior can be removed, and use Baseline only for the affected namespace or workload. Do not label a broad shared namespace privileged to accommodate one agent.
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4. Contain network reachability with NetworkPolicy
Begin with default-deny ingress and egress in the agent namespace. Then add narrowly scoped exceptions for DNS, required service-to-service calls, the Kubernetes API endpoint when needed, and explicitly approved external destinations. NetworkPolicy controls network reachability; it does not grant Kubernetes API permissions, so it must be paired with RBAC.
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Start with a default deny
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: default-deny
namespace: ai-agents
spec:
podSelector: {}
policyTypes:
- Ingress
- EgressAdd only the traffic the agent needs
A typical follow-up policy permits DNS to the cluster DNS pods on UDP and TCP port 53 and permits traffic to a specifically labelled application service. The DNS labels differ between installations, so inspect your cluster’s labels before applying the selector.
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: agent-egress
namespace: ai-agents
spec:
podSelector:
matchLabels:
app: agent
policyTypes:
- Egress
egress:
- to:
- namespaceSelector:
matchLabels:
kubernetes.io/metadata.name: kube-system
podSelector:
matchLabels:
k8s-app: kube-dns
ports:
- protocol: UDP
port: 53
- protocol: TCP
port: 53Add a separate rule for each approved API or service destination rather than allowing all addresses. Block cloud instance metadata endpoints and limit instance credentials so a compromised pod cannot turn network access into cloud-account access. Confirm that your CNI plugin enforces NetworkPolicy; a policy object alone does not provide protection if the networking implementation does not support it.
5. Make admission a second gate
Use a ValidatingAdmissionPolicy or validating webhook to reject unsafe workload specifications before they are persisted. Useful checks include privileged containers, host networking, host PID or IPC, hostPath volumes, unsafe Linux capabilities, unapproved images, missing resource limits, and deployment into protected namespaces.
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Admission is evaluated after authorization. Therefore, an admission policy cannot repair an over-broad identity: if the agent can create or modify the policy objects themselves, it may be able to remove the gate. Keep policy administration outside the agent’s Role, protect webhook configuration, and test both allowed and rejected requests.
6. Separate namespaces, nodes, and trust levels
Place agents in dedicated namespaces and keep high-trust automation separate from low-trust or publicly exposed workloads. Namespace separation simplifies PSA labels, NetworkPolicy, quotas, and review. It is not a complete isolation boundary, so combine it with identity and admission controls.
For agents that handle sensitive data or can launch powerful workloads, use taints and tolerations, node affinity, or anti-affinity to control placement. Avoid co-locating a powerful agent pod with an untrusted or internet-facing workload. Placement constraints reduce co-location and lateral-movement opportunities; they do not replace RBAC or NetworkPolicy.
7. Put hard ceilings on resource use
Set CPU and memory requests and limits on every agent container. Requests make scheduling predictable; limits prevent one runaway loop from consuming an unbounded share of a node. Enforce defaults and maximums with a LimitRange, and use ResourceQuota to cap aggregate consumption in the agent namespace. These controls are also available as admission plugins, so a deployment that omits limits can be rejected rather than corrected after the fact.
apiVersion: v1
kind: LimitRange
metadata:
name: agent-container-limits
namespace: ai-agents
spec:
limits:
- type: Container
default:
cpu: 500m
memory: 512Mi
defaultRequest:
cpu: 100m
memory: 128Mi
---
apiVersion: v1
kind: ResourceQuota
metadata:
name: agent-quota
namespace: ai-agents
spec:
hard:
requests.cpu: 2
requests.memory: 4Gi
limits.cpu: 4
limits.memory: 8Gi
pods: 10Choose ceilings from observed workload requirements and revise them through change control. A quota that is too small can cause failed rollouts; one that is too large does not meaningfully limit blast radius.
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8. Turn on auditing and review the changes that matter
Kubernetes auditing produces chronological, security-relevant records of cluster actions. Send audit logs to a protected destination separate from the agent’s namespace and retain enough history for incident investigation. Include the identity, verb, resource, namespace, response status, and source details required by your audit policy.
Review changes to Roles, RoleBindings, ClusterRoles, ClusterRoleBindings, admission policies, and namespace security labels. These objects determine what an agent can do and which safeguards apply. Pair periodic access reviews with tests that attempt representative denied actions; a policy that exists but is not enforced by the target Kubernetes version or network plugin is not a control.
How the control layers compare
| Control | Primary boundary | What it limits | What it does not provide |
|---|---|---|---|
| RBAC | Kubernetes API identity | Verbs on named resources, normally within a namespace | A sandbox for code already running inside a pod |
| Pod Security Admission | Namespace admission | Privileged mode, host namespaces, dangerous pod settings, and other restricted behaviors | Network isolation or API authorization |
| NetworkPolicy | Pod network paths | Ingress and egress destinations and ports | Permission to call the Kubernetes API |
| Validating admission | Object creation and update | Whether a workload or policy specification meets your rules | Protection if the caller can change the admission policy |
| Namespace and node placement | Workload co-location | Which workloads share administrative and physical boundaries | Guaranteed isolation from every cluster-level failure |
| LimitRange and ResourceQuota | Resource consumption | Per-container defaults and namespace-wide ceilings | Control over external services or cloud permissions |
| Audit logging | Evidence and detection | Records of actions and policy changes | Prevention of an action by itself |
Recommended implementation order
- Create the dedicated namespace and ServiceAccount; remove use of the default account.
- Write a minimal Role and RoleBinding from observed API calls, then remove wildcard rules and unnecessary writes.
- Disable token automounting. Add an audience-bound projected token only to the workload that needs API access.
- Apply PSA
warnandaudit, fix violations, and enableenforce=restrictedwhen compatible. - Apply default-deny ingress and egress, then permit DNS and named destinations one rule at a time.
- Deploy admission validation for privileged settings, host access, images, capabilities, and resource limits.
- Add namespace quotas and container requests and limits.
- Constrain placement for sensitive agents with taints, tolerations, affinity, or anti-affinity.
- Enable protected audit-log delivery and schedule reviews of authorization and policy objects.
- Test the complete path in the target Kubernetes version: allowed reads should succeed, while unauthorized writes, host access, forbidden network connections, and over-quota deployments should fail.
Troubleshooting common failures
The agent receives a 403 from the Kubernetes API
Confirm that the pod uses the intended ServiceAccount, that the RoleBinding is in the same namespace as the subject and Role, and that the Role names the exact API group, resource, namespace, and verb. If automounting is disabled, verify that the application has the explicitly projected token it was designed to use.
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Read the rejection message and remove the cited host namespace, capability, volume, user, or privilege setting. During migration, keep warn and audit enabled while fixing manifests; do not solve one incompatible pod by weakening an entire shared namespace.
DNS or a required service stops working after default deny
Check that the NetworkPolicy selects the agent pod, permits both DNS transport protocols where required, and matches the actual labels in the DNS namespace. Add an explicit rule for each service or API destination instead of opening unrestricted egress.
An agent still causes damage despite narrow RBAC
RBAC may be working as designed while the pod retains network access, cloud credentials, excessive resources, or the ability to create an unsafe workload. Recheck token mounting, metadata reachability, admission validation, resource ceilings, and node co-location as separate layers.
Deployments fail after quotas or limits are added
Inspect namespace quota usage and the container’s requests and limits. Reduce the requested footprint, increase the approved quota through review, or remove stale workloads. Do not delete the quota simply to make a rollout pass.
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