Limit an AI agent in Kubernetes with layers, not one switch: give it a dedicated ServiceAccount and narrowly scoped Role, disable token automounting unless API access is required, enforce Pod Security Admission, default-deny network traffic, reject unsafe pod specifications at admission, isolate sensitive workloads, cap resources, and audit every policy and permission change. RBAC limits Kubernetes API actions; it does not contain code running inside a pod, so each layer closes a different path to damage.
What “blast radius” means for an AI agent
An agent’s blast radius is the amount of cluster, workload, network, data, and cloud infrastructure it could affect after a prompt error, compromised dependency, stolen credential, or malicious instruction. Kubernetes controls address different parts of that radius:
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- RBAC controls which Kubernetes API operations an identity may perform.
- Pod Security Admission (PSA) controls dangerous pod and host settings at namespace scope.
- NetworkPolicy controls which workloads and destinations a pod can reach.
- Admission policy rejects unsafe workload specifications before they are persisted.
- Placement and resource controls reduce co-location, lateral movement, and denial-of-service impact.
- Auditing records security-relevant actions so you can investigate and detect drift.
These controls are complementary. A pod can have no Kubernetes API permissions and still attack another service over the network. Conversely, a pod can be network-isolated and still alter cluster objects if its service-account token has broad RBAC rights.
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Start with a dedicated identity and least-privilege RBAC
Create one ServiceAccount for each agent or tightly defined trust domain. Do not let agents share the namespace’s default account, because every workload using that account inherits the same identity and future permission changes affect all of them.
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Use a namespaced Role, not a cluster-wide grant
When an agent only needs to work in one namespace, define a Role there and connect it with a RoleBinding. Avoid ClusterRoleBinding unless the operation genuinely spans the cluster. List each resource and verb explicitly; never use wildcard resources or verbs for convenience.
apiVersion: v1
kind: ServiceAccount
metadata:
name: agent-sa
namespace: agents
automountServiceAccountToken: false
---
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
name: agent-workload-reader
namespace: agents
rules:
- apiGroups: [""]
resources: ["pods", "configmaps"]
verbs: ["get", "list", "watch"]
- apiGroups: ["batch"]
resources: ["jobs"]
verbs: ["get", "list", "watch"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
name: agent-workload-reader
namespace: agents
subjects:
- kind: ServiceAccount
name: agent-sa
namespace: agents
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: Role
name: agent-workload-readerThe resources and verbs in this example are deliberately illustrative. Remove anything the agent does not need, and add only the exact API groups, resources, subresources, and verbs required by its workflow. Reading a pod is different from updating it; updating a deployment is different from creating one. Keep read-only access read-only wherever possible.
Audit high-risk permissions before granting them
Treat the following permissions as escalation-sensitive and require a specific design review:
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impersonate, which can let an identity act as another user or service account.serviceaccounts/token, which can mint tokens for other service accounts.- Certificate approval or signing permissions.
- Webhook configuration changes.
- Namespace-label mutation, which can change Pod Security Admission behavior.
- Workload creation or modification in namespaces containing more trusted services.
Do not grant these because an SDK, operator, or agent framework requests them by default. If one is unavoidable, isolate the identity, document the exact operation, and monitor every use.
Verify both allowed and denied actions
Use impersonation checks before deploying the agent and repeat them after every RBAC change:
kubectl auth can-i get pods
--as=system:serviceaccount:agents:agent-sa
-n agents
kubectl auth can-i delete deployments
--as=system:serviceaccount:agents:agent-sa
-n agents
kubectl auth can-i create clusterrolebindings
--as=system:serviceaccount:agents:agent-saThe first command should return yes only when the agent needs that read. The latter checks should return no unless your design explicitly requires those actions. Test the exact Kubernetes version and admission configuration used in production; an access review is incomplete if it checks only what should work.
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Keep service-account credentials out of pods unless the API is required
Set automountServiceAccountToken: false on the ServiceAccount, and reinforce it on the pod or workload specification when appropriate. This prevents an automatically mounted token from becoming an incidental credential for code that never calls the Kubernetes API.
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kind: Deployment
metadata:
name: agent
namespace: agents
spec:
replicas: 1
selector:
matchLabels:
app: agent
template:
metadata:
labels:
app: agent
spec:
serviceAccountName: agent-sa
automountServiceAccountToken: false
containers:
- name: agent
image: registry.example/agent:stableIf API access is genuinely required, use a projected service-account token that is short-lived and audience-bound rather than relying on a long-lived, broadly reusable credential. Request only the audience accepted by the intended API and grant the corresponding identity only the verbs and resources it needs. A token’s presence inside a container is still a compromise risk; keep it out of helper containers and sidecars that do not need it.
Enforce Pod Security Admission in the agent namespace
Pod Security Admission operates at namespace level and supports three profiles: privileged, baseline, and restricted. The Restricted profile is the strongest built-in baseline for ordinary workloads. Baseline is a compatibility step when required agent behavior cannot yet meet Restricted.
Roll out labels safely
Use audit and warn while you discover incompatible manifests, then switch production enforcement to Restricted after the agent and its supporting pods comply.
apiVersion: v1
kind: Namespace
metadata:
name: agents
labels:
pod-security.kubernetes.io/audit: restricted
pod-security.kubernetes.io/warn: restricted
pod-security.kubernetes.io/enforce: restrictedDuring migration, set audit and warn first and inspect the violations they report. Correct the workload rather than permanently weakening the namespace for one container. If a narrowly scoped exception is necessary, place that workload in a separately governed namespace instead of relaxing protection for every agent.
What PSA protects—and what it does not
PSA can prevent dangerous settings such as privileged containers and other host-level behaviors covered by the selected profile. It does not decide whether an identity may create a pod, read a Secret, or modify a Role; those are authorization questions. It also does not restrict a permitted pod’s network destinations, so pair it with NetworkPolicy.
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Contain network reachability with default-deny policies
Begin the agent namespace with default-deny ingress and egress. Then add narrowly scoped allows for DNS, required service-to-service calls, the Kubernetes API endpoint when needed, and explicitly approved external destinations.
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: default-deny-ingress
namespace: agents
spec:
podSelector: {}
policyTypes:
- Ingress
---
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: default-deny-egress
namespace: agents
spec:
podSelector: {}
policyTypes:
- EgressThese policies establish the deny baseline; they do not automatically permit DNS or application traffic. Add allow rules that match your actual service labels and namespaces. A common DNS rule selects the cluster DNS pods in the system namespace and permits UDP and TCP port 53. Verify the labels used by your cluster’s DNS deployment before applying such a selector, because label conventions can differ.
For egress outside the cluster, allow only documented destinations and ports. Do not replace an allowlist with 0.0.0.0/0. Block cloud instance-metadata endpoints and avoid giving the node or workload unrestricted access to instance credentials. NetworkPolicy controls reachability; it does not grant Kubernetes API rights, and an allowed network path does not make an API request authorized.
Account for policy implementation limits
NetworkPolicy behavior depends on the networking implementation in your cluster. Confirm that the installed component enforces both ingress and egress rules, then test a permitted connection and a deliberately denied connection from the agent pod. Record the result as part of deployment validation rather than assuming that creating a policy object is sufficient.
Add admission policy as a second gate
Use ValidatingAdmissionPolicy or a validating webhook to reject unsafe specifications before they are stored. Useful rules for an agent namespace include:
- Reject privileged containers and host networking.
- Reject host PID and host IPC settings.
- Reject hostPath volumes unless an explicitly reviewed exception exists.
- Reject unsafe Linux capabilities.
- Require approved image registries and image identities.
- Require CPU and memory requests and limits.
- Reject deployment into protected namespaces.
Authorization is evaluated first. Admission is evaluated only after an authorization allow, so admission cannot compensate for an over-broad ServiceAccount. If an agent can create a workload because RBAC grants that verb, an admission rule may stop a privileged pod, but it does not make the identity least-privileged or prevent every harmful object it could create.
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Keep policy failures understandable. Return the violated rule and the corrective field so operators can fix manifests without disabling enforcement. Test updates as well as creates: an agent might leave a safe deployment unchanged while attempting to add a host namespace or extra capability during an update.
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Keep agents in dedicated namespaces and separate high-trust and low-trust workloads. Namespace boundaries make RBAC, PSA labels, quotas, and policy review easier to reason about; they are not a complete security boundary by themselves.
For sensitive or powerful agents, use taints and tolerations, node affinity, or anti-affinity to control placement. Avoid co-locating a powerful agent pod with an untrusted or publicly exposed workload on the same node. Placement constraints reduce opportunities for lateral movement and make the consequences of a node-level compromise easier to contain.
Do not use node isolation as a substitute for RBAC or network controls. A pod on a dedicated node can still call an API if its token permits it, and it can still reach another service unless NetworkPolicy blocks that path.
Put hard ceilings on CPU, memory, and object consumption
Set realistic resource requests and limits for every agent container. Requests give the scheduler a predictable placement signal; limits prevent an agent from consuming unbounded CPU or memory on its node. Enforce defaults and maximums with LimitRange, and use ResourceQuota where a namespace needs an aggregate ceiling.
- Define requests and limits for each container, including sidecars.
- Choose memory limits that leave headroom for the node and other required services.
- Set namespace quotas for total CPU, memory, and relevant object counts when multiple agent workloads share the namespace.
- Have admission policy reject manifests that omit required limits.
Resource controls address exhaustion; they do not stop an agent from reading a Secret or modifying a deployment. Keep them in the same review as identity, admission, and network settings.
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Enable Kubernetes auditing and ship the records to a protected destination. Audit logs provide chronological evidence of cluster actions, including which identity made a request and whether it was allowed or denied according to the configured policy.
Review changes to Role, RoleBinding, ClusterRole, ClusterRoleBinding, admission policy, and namespace labels. A change that appears unrelated to the agent can still expand its effective authority—for example, a new binding to a group, or a namespace-label mutation that changes PSA enforcement.
- Alert on grants involving
impersonate, token creation, certificate approval or signing, webhook configuration, and workload creation in protected namespaces. - Compare live bindings with the approved configuration during regular access reviews.
- Investigate denied requests as well as successful ones; repeated denials can reveal a broken workflow or an attempted escalation.
- Retest token automounting, network denies, and admission rejection after upgrades or policy-controller changes.
Compare designs by the controls that matter
| Design choice | API permission scope | Pod privilege | Network reachability | Credential posture | Isolation and oversight |
|---|---|---|---|---|---|
| Broad cluster identity | Cluster-wide; often includes unnecessary write access | Unchanged by RBAC | Unchanged unless policies exist | Token is powerful if mounted | Highest blast radius; difficult to review |
| Namespaced least-privilege identity | Role and RoleBinding limited to selected namespace resources and verbs | Unchanged by RBAC | Must be constrained separately | Automount disabled by default; projected token when required | Easier access review and revocation |
| Restricted PSA namespace | Does not grant API rights | Blocks dangerous pod and host settings at namespace scope | Does not control traffic | Does not issue or revoke tokens | Strong built-in workload baseline |
| Default-deny NetworkPolicy | Does not change API authorization | Does not change pod privileges | Only explicitly allowed ingress and egress work | Reduces reachable credential and service endpoints | Depends on the installed network-policy implementation |
| Admission validation | Runs after an authorization allow | Can reject privileged, host-level, unsafe, or unapproved specifications | Can require policy-related fields but does not replace NetworkPolicy | Can require safer workload configuration | Central second gate; must be tested for creates and updates |
| Dedicated nodes and quotas | No direct API reduction | Reduces co-location exposure | No direct reachability reduction | No direct token reduction | Limits resource and node-level impact |
A rollout sequence that avoids locking out the agent
- Inventory the workflow. List every Kubernetes API call, destination, namespace, port, image, volume, and resource requirement the agent actually uses.
- Create the namespace and identity. Use a dedicated ServiceAccount, disable automounting, and apply audit and warn PSA labels.
- Write the smallest Role. Bind it with a RoleBinding, then remove any wildcard or unused verb and resource.
- Measure current behavior. Run
kubectl auth can-ichecks and observe denied operations before granting exceptions. - Deploy default-deny networking. Add only the DNS, API, service, and external egress rules demonstrated by the workflow. Confirm both allowed and blocked paths.
- Fix manifests for Restricted. Remove privileged mode, host namespaces, unsafe capabilities, and hostPath use; add approved images and resource limits.
- Enable admission rejection. Start with violations visible to operators, then enforce once compliant manifests are stable.
- Apply placement and quotas. Separate sensitive agents from untrusted workloads and enforce namespace resource ceilings.
- Turn on production PSA enforcement. Set
pod-security.kubernetes.io/enforce=restrictedafter migration findings are resolved. Use Baseline only where a documented compatibility requirement remains. - Enable protected auditing and schedule reviews. Recheck bindings, namespace labels, policies, token use, and denied actions after upgrades and periodically during operations.
Common failure modes and fixes
The agent cannot perform a required read
Check the exact namespace, API group, resource, subresource, and verb. A Role in one namespace does not authorize the same resource in another. Add the narrow missing rule rather than replacing it with a ClusterRoleBinding.
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Your default-deny egress policy probably lacks a DNS allow. Confirm the cluster DNS namespace and pod labels, then permit UDP and TCP port 53 only to those DNS pods.
Restricted PSA rejects the deployment
Read the warning or audit violation, correct the manifest, and redeploy. Do not relabel the entire namespace as privileged to accommodate one incompatible container; isolate a separately reviewed exception if the behavior is unavoidable.
The agent reaches an internal service it should not see
RBAC is not a network firewall. Add or correct ingress and egress NetworkPolicy selectors, verify that the network implementation enforces them, and test from the running pod.
An admission rule appears ineffective
Confirm that the request is reaching the intended policy and that the identity is not being evaluated through an unexpected binding. Remember that admission runs after authorization; remove excessive RBAC rights instead of relying on validation to contain them.
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Review observed usage and requests separately. Increase limits only to the amount the workflow needs, preserve node headroom, and use a namespace quota to prevent several agent replicas from exhausting shared capacity.
Quick Recap
Operational checklist
- One ServiceAccount per agent or trust domain; no shared default account.
- Namespaced Role and RoleBinding with explicit resources and verbs.
- No wildcard permissions or unnecessary write access.
automountServiceAccountToken: falseunless API access is required.- Projected, short-lived, audience-bound token when API access is required.
- Restricted PSA enforcement after audit and warn migration.
- Default-deny ingress and egress with explicit DNS, service, API, and external allows.
- Cloud metadata endpoints and unnecessary instance credentials blocked.
- Admission rejection for privileged mode, host namespaces, hostPath, unsafe capabilities, unapproved images, missing limits, and protected-namespace deployment.
- Dedicated namespaces and node-placement constraints for sensitive agents.
- Requests, limits, LimitRange, and ResourceQuota where appropriate.
- Protected audit logs and recurring review of bindings, policies, and namespace labels.
- Automated tests proving that required actions succeed and forbidden actions fail on the target Kubernetes version.
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