Store an AI agent’s credentials as workload secrets: give each Pod only the identity and permissions it needs, encrypt Kubernetes Secret data at rest, and avoid exposing values through images, manifests, or unnecessary environment variables. For rotation, update the authoritative credential, deliver it to the workload, make the agent use and validate it, and revoke the old value only when the external service’s supported process allows.
Start with the agent’s identity and the smallest useful access
An AI agent running in Kubernetes is a workload, so its credentials should be designed like any other workload’s credentials. Separate credentials by agent or workload where practical, and grant each one only the permissions its assigned tasks require. Avoid giving an agent broad Kubernetes or cloud access merely because it may need one specific API or tool.
A Pod’s Kubernetes ServiceAccount is its identity when it calls the Kubernetes API. Use a custom ServiceAccount with narrowly scoped permissions when the agent needs that API; do not rely on a namespace’s default identity without reviewing what it can do. If the Pod does not need Kubernetes API access, set automountServiceAccountToken: false so a token is not mounted unnecessarily.
Review both direct Secret permissions and the ability to create workloads. Kubernetes authorization to list or watch Secrets can expose their values, while permission to create Pods or Deployments in a namespace can provide an indirect route to Secrets available there. RBAC should account for both paths, not just who can read a Secret object directly.
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Choose where each credential lives and how it reaches the Pod
Kubernetes Secret objects are a reasonable delivery mechanism for some credentials, but base64 encoding in a Secret’s data field is not encryption. Kubernetes documents that Secret data is stored unencrypted in etcd by default and recommends configuring encryption at rest for the Secret API. Treat that as separate from disk-level or etcd-cluster encryption: it is protection for the Kubernetes API data itself.
Do not put confidential values in ConfigMaps or commit base64-encoded Secret manifests to source control. Keep access to Secret objects narrowly authorized, and account for every copy of a credential, including copies synchronized from an external store into Kubernetes.
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Compare the main delivery patterns
| Pattern | Where the authoritative value can live | How the Pod receives it | What to plan for |
|---|---|---|---|
| Kubernetes Secret | Kubernetes API and etcd | Typically as a mounted volume or environment variable | Configure encryption at rest, restrict Secret access, and decide how the application will pick up changes. |
| External store with Secrets Store CSI Driver | External secrets manager | Retrieved and mounted into an authorized Pod through a CSI volume | Configure provider authentication and permissions. If integration also synchronizes a Kubernetes Secret, include that additional copy in the threat model. |
| Provider or vendor operator | External manager or an operator-managed Kubernetes object, depending on configuration | May use mounted files or synchronized Kubernetes Secret objects | Confirm what the specific operator supports for the workload, how it updates values, and whether the application reloads them. |
Kubernetes’s Secrets Store CSI Driver documentation describes mounting values from external stores. Official examples include HashiCorp’s Vault CSI provider and Vault Secrets Operator, AWS Secrets Manager integrations, Azure Key Vault on AKS, and Google Cloud Secret Manager. These are implementation examples, not a ranking: check support and configuration for your cluster, provider, and workload.
Prefer mounted files when the application can reload them
Kubernetes guidance notes that environment variables may be more prone to leakage through logs or crash dumps and recommends volume injection where appropriate. A mounted file is often easier to constrain, but it does not make rotation automatic from the agent’s perspective. The application still needs a deliberate way to notice the updated file and use the new value.
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Environment variables have a different operational trade-off: changing the source Secret does not change the environment of an already-running process. If the agent receives a credential that way, plan a controlled Pod restart after the update. With either delivery method, verify what the particular integration updates and what the agent actually reads.
Use short-lived Kubernetes tokens instead of long-lived token Secrets
For Kubernetes v1.22 and later, Kubernetes recommends TokenRequest and projected ServiceAccount token volumes as ways to obtain short-lived ServiceAccount tokens that rotate automatically. Legacy ServiceAccount token Secrets do not expire or rotate and are not recommended for new workload patterns. Do not treat this Kubernetes API token as interchangeable with an unrelated credential, such as an API key for an external service.
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If the agent needs cloud API access, prefer a supported workload-identity or federation integration when one is available rather than placing a static cloud key in an image or manifest. The exact mechanism is provider-specific. For example, Microsoft’s AKS documentation describes a flow using the Kubernetes token to obtain a Microsoft Entra token; HashiCorp documents Vault CSI authentication using a Pod’s ServiceAccount.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Rotate an application credential end to end
Rotation succeeds only when the new credential reaches the agent, the agent uses it successfully, and the old credential is retired at the right time. There is no universal safe overlap period: the target service determines whether both credentials can be valid at once and how credential replacement works.
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- Define ownership and recovery. Identify who creates the replacement, where it becomes authoritative, how it reaches the Pod, how the agent reloads it, how success will be checked, and how to recover if the update fails.
- Create or update the value at its source. Use the target service’s supported credential-rotation procedure. If that service allows old and new credentials to overlap, use only the overlap it supports and your recovery plan requires.
- Check the delivery integration. Confirm the CSI provider or operator can read the new version and has only the permissions it needs. Verify that the intended Pod receives the updated mounted value or synchronized Secret.
- Make the running agent use the new value. For a mounted file, ensure the application detects and reloads changes. For an environment variable, arrange a controlled Pod restart so the new process receives the updated value.
- Validate before retiring the old credential. Check that the agent can make the required connection with the new value and monitor for errors. Revoke the previous credential only when the service-specific overlap and recovery plan permit it.
Provider update timing is not a Kubernetes-wide guarantee. Microsoft’s AKS Key Vault CSI autorotation documentation says its provider polls for changes every two minutes by default; that is an AKS provider default documented as of 2026, not a general Kubernetes interval. Google Cloud documents periodic synchronization and notes that applications must detect or reload changed values, without establishing one universal interval for all configurations.
Keep Kubernetes encryption-key rotation separate
Rotating an application credential changes what the agent presents to an application or external service. Rotating the key used to encrypt Kubernetes API data at rest is a separate control-plane operation. One does not replace the other.
Kubernetes documents a staged encryption-key process: add the new key so control-plane instances can decrypt with it, make it the active encryption key, rewrite existing Secrets, then remove the old key only after confirming re-encryption and retaining a secure backup. Removing the old decryption key too early can make data encrypted with it unreadable.
Match the mechanism to the workload
Before choosing a Secret object, CSI mount, or operator, answer these questions for each credential:
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- How does the Pod authenticate to the store: a short-lived Kubernetes token, workload identity federation, or another provider-supported method?
- Does the value arrive as a mounted file, an environment variable, or a synchronized Secret object?
- How will the agent detect a change, reload the value, or receive a restart?
- Can the team operate the integration, audit its permissions, and support it on the target cluster and cloud?
Base the choice on those workload and operational requirements, then verify current provider documentation for the cluster version and region you run. The integration’s behavior, supported identity methods, and defaults can change over time.
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