More Info:
Storing secrets in an external, dedicated secrets manager reduces exposure compared to native Kubernetes secrets. Evaluate cloud provider or third-party secrets management solutions.Risk Level
MediumAddress
SecurityCompliance Standards
- APRA CPS 234 (Australia)
- AWS Startup Security Baseline
- BSI C5 (Germany)
- Brazil LGPD
- CCPA / CPRA (California)
- CIS Critical Security Controls v8
- CIS EKS
- CMMC 2.0
- CSA Cloud Controls Matrix v4
- DPDPA
- Digital Operational Resilience Act (EU)
- Essential 8
- ISO/IEC 27017
- ISO/IEC 27018
- ISO/IEC 27701
- KSA PDPL
- MAS Technology Risk Management (Singapore)
- MITRE ATT&CK (Cloud)
- NIS2 Directive
- NIST SP 800-171
- NYDFS 23 NYCRR 500
- SWIFT Customer Security Controls Framework
- Sarbanes-Oxley IT General Controls
- UK NCSC Cyber Assessment Framework
Triage and Remediation
- Remediation
Remediation
Manual Steps
Manual Steps
-
Inventory current Kubernetes Secrets usage
Run these on any machine with kubectl access:If allowed in your environment, spot-check contents (never export broadly in shared terminals/logs): -
Identify workloads depending on Kubernetes Secrets
Record which applications, namespaces, and service accounts rely on Secrets, and which specific secrets are high sensitivity (DB creds, API keys, encryption keys, etc.).
-
Evaluate current secret protection controls
On any machine with kubectl access, check if secret data at rest is protected (for managed EKS, review in cloud console/IaC if envelope encryption for secrets is enabled and with which KMS key). For cluster-scoped view:In your cloud console / IaC, review:- Whether Kubernetes Secrets are encrypted with a customer-managed KMS key.
- Who can access that KMS key (IAM roles/policies).
- Who can list/get Secrets via cluster RBAC.
-
Assess need and options for external secret storage
Based on steps 1–3, decide which secrets should move to an external manager (e.g., all production / highly sensitive secrets). For your environment, review in cloud console/IaC:- Availability of cloud-native secret managers (e.g., AWS Secrets Manager / Parameter Store, GCP Secret Manager, Azure Key Vault, HashiCorp Vault).
- Native integrations or operators for Kubernetes (e.g., External Secrets Operator, Secrets Store CSI Driver).
- Compliance or audit requirements that may mandate external secret storage or HSM-backed keys.
-
Design the integration pattern and update manifests
Choose one pattern (examples, adapt to your platform and tooling):- Secrets Store CSI Driver / external secrets operator: pods mount secrets from external store as volumes or sync to Kubernetes Secrets.
- Sidecar / init container that fetches secrets from the external manager and writes them to a tmpfs volume.
For the chosen pattern, update deployment manifests to stop embedding static credentials and instead reference the external source. Example (CSI driver style – conceptual, not a one-size-fits-all fix):
Apply updated manifests from a machine with kubectl access: -
Verify and decommission in-cluster secrets where appropriate
a. Verify workloads now retrieve secrets from the external store and still function:b. Confirm that application pods no longer list the previous Kubernetes Secrets in env or volume mounts:c. After confirming safe cutover and rollback plan, carefully delete or reduce high-sensitivity Kubernetes Secrets that are no longer needed:Document which applications now depend on the external secrets manager and ensure access to the external secrets is governed via cloud/IAM policies instead of (or in addition to) in-cluster RBAC.
Using kubectl
Using kubectl
- Large numbers of application-owned
Opaquesecrets (not just service account or TLS certs). - Secrets holding long‑lived credentials (database users, API keys, cloud access keys).
- Same secret reused across many workloads or namespaces.
- Secrets embedded as env vars in many pods (easy to leak via logs, debug, etc.).
- Names like
*-db-password,*-api-key,*-aws-credentials,*-tokenusually indicate external system secrets that are good candidates for an external manager. - If those secrets are long‑lived and manually rotated, that strengthens the case for an external secrets manager.
- Many
Opaquesecrets in application namespaces storing business‑critical or external credentials. - Same‑name secrets across namespaces that obviously mirror the same external system (e.g.,
db-credentialsin many namespaces) instead of being sourced from a dedicated secrets manager. - No evidence of any integration with an external secrets operator (e.g., no CRDs like
externalsecret), suggesting everything is native Kubernetes secrets.
- If there are no CRDs or controllers related to external secrets and you see many high‑sensitivity
Opaquesecrets as described above, that is a strong signal that external secret storage should be considered. - If external secret tooling is present, verify whether the high‑sensitivity secrets identified earlier are actually sourced from it or still managed as plain Kubernetes secrets.
Automation
Automation

