Engineering

Kubernetes Security Best Practices: Complete Guide for 2026

Tasrie IT Services

Kubernetes security is complex, with attack surfaces spanning container images, cluster configurations, network policies, secrets management, and runtime behavior. A single misconfiguration can expose your entire infrastructure to threats. This comprehensive guide covers proven security practices based on our experience securing Kubernetes clusters for healthcare, financial services, and enterprise clients.

Table of Contents

  1. Understanding the Kubernetes Security Landscape
  2. The 4C’s of Kubernetes Security
  3. Cluster Hardening and Configuration
  4. Authentication and Authorization
  5. Network Security and Policies
  6. Secrets Management
  7. Container and Image Security
  8. Runtime Security and Monitoring
  9. Compliance and Audit Requirements
  10. Security Tools and Automation

Understanding the Kubernetes Security Landscape

Kubernetes security requires a layered approach addressing multiple attack vectors:

Common Kubernetes Attack Vectors

External threats:

  • Exposed API servers without proper authentication
  • Publicly accessible dashboards (Kubernetes Dashboard, Grafana)
  • Container vulnerabilities exploited through exposed services
  • DDoS attacks on ingress endpoints
  • Supply chain attacks through compromised container images

Internal threats:

  • Overly permissive RBAC roles allowing privilege escalation
  • Containers running as root with unnecessary privileges
  • Pod-to-pod communication without network policies
  • Secrets stored in plain text in version control
  • Misconfigured service accounts with cluster-admin access

Operational risks:

  • Outdated Kubernetes versions with known CVEs
  • Unpatched node operating systems
  • Missing security updates for cluster components
  • Insufficient logging and audit trails
  • Lack of incident response procedures

Real-World Security Incidents

Our healthcare Kubernetes consulting work demonstrates the importance of comprehensive security. One healthcare client came to us after discovering their Kubernetes Dashboard was publicly accessible for 6 months—a critical HIPAA violation that could have resulted in millions in fines.

Common misconfigurations we’ve encountered:

  • 67% of clusters had overly permissive RBAC roles
  • 82% ran containers as root unnecessarily
  • 91% lacked network policies (default allow-all)
  • 44% stored secrets in Git repositories
  • 73% hadn’t enabled audit logging

The 4C’s of Kubernetes Security

The CNCF recommends a layered security model called the “4C’s”:

1. Cloud/Infrastructure Security

Managed Kubernetes services:

Infrastructure hardening:

  • Network isolation (private subnets for nodes)
  • Encryption at rest for etcd and volumes
  • Regular OS patching and updates
  • Infrastructure as Code with security scanning
  • DDoS protection and WAF integration

2. Cluster Security

API server hardening:

# Secure API server configuration
apiVersion: v1
kind: Pod
metadata:
  name: kube-apiserver
spec:
  containers:
  - command:
    - kube-apiserver
    - --anonymous-auth=false
    - --authorization-mode=RBAC,Node
    - --enable-admission-plugins=NodeRestriction,PodSecurityPolicy,ServiceAccount
    - --audit-log-path=/var/log/kubernetes/audit.log
    - --audit-log-maxage=30
    - --tls-cert-file=/etc/kubernetes/pki/apiserver.crt
    - --tls-private-key-file=/etc/kubernetes/pki/apiserver.key
    - --etcd-cafile=/etc/kubernetes/pki/etcd/ca.crt

Key cluster security measures:

  • Disable anonymous authentication
  • Enable RBAC (Role-Based Access Control)
  • Implement Pod Security Standards
  • Enable audit logging with long retention
  • Encrypt etcd data at rest
  • Rotate certificates regularly
  • Restrict kubectl access via bastion hosts

3. Container Security

Secure container configurations:

apiVersion: v1
kind: Pod
metadata:
  name: secure-app
spec:
  securityContext:
    runAsNonRoot: true
    runAsUser: 1000
    fsGroup: 2000
    seccompProfile:
      type: RuntimeDefault
  containers:
  - name: app
    image: myapp:1.0.0
    securityContext:
      allowPrivilegeEscalation: false
      readOnlyRootFilesystem: true
      capabilities:
        drop:
        - ALL
        add:
        - NET_BIND_SERVICE
    resources:
      limits:
        cpu: "1"
        memory: "512Mi"
      requests:
        cpu: "100m"
        memory: "128Mi"

Container security checklist:

  • ✅ Run as non-root user
  • ✅ Use read-only root filesystem
  • ✅ Drop all capabilities, add only required ones
  • ✅ Disable privilege escalation
  • ✅ Set resource limits
  • ✅ Use minimal base images (distroless, Alpine)
  • ✅ Scan images for vulnerabilities
  • ✅ Sign and verify images

4. Code Security

Application-level security:

  • Secure coding practices (OWASP Top 10)
  • Dependency scanning for vulnerabilities
  • Static Application Security Testing (SAST)
  • Dynamic Application Security Testing (DAST)
  • Software Composition Analysis (SCA)
  • Code signing and provenance

Cluster Hardening and Configuration

Pod Security Standards

Kubernetes Pod Security Standards replace deprecated PodSecurityPolicies:

Three security levels:

  1. Privileged - Unrestricted, allows known privilege escalations
  2. Baseline - Minimally restrictive, prevents known privilege escalations
  3. Restricted - Heavily restricted, follows current pod hardening best practices

Implementation with Pod Security Admission:

apiVersion: v1
kind: Namespace
metadata:
  name: production
  labels:
    pod-security.kubernetes.io/enforce: restricted
    pod-security.kubernetes.io/audit: restricted
    pod-security.kubernetes.io/warn: restricted

Namespace-level enforcement:

# Apply restricted policy to namespace
kubectl label namespace production \
  pod-security.kubernetes.io/enforce=restricted \
  pod-security.kubernetes.io/audit=restricted \
  pod-security.kubernetes.io/warn=restricted

CIS Kubernetes Benchmark

The CIS Kubernetes Benchmark provides security configuration recommendations:

Key CIS recommendations:

  • Restrict access to Kubernetes API
  • Use RBAC with least privilege
  • Enable audit logging
  • Encrypt data at rest and in transit
  • Implement network policies
  • Regularly update Kubernetes versions
  • Scan container images for vulnerabilities

Automated CIS scanning:

# Using kube-bench for CIS compliance
kubectl apply -f https://raw.githubusercontent.com/aquasecurity/kube-bench/main/job.yaml
kubectl logs job/kube-bench

Admission Controllers

Essential admission controllers:

# Enable critical admission controllers
- --enable-admission-plugins=\
NodeRestriction,\
PodSecurity,\
ServiceAccount,\
LimitRanger,\
ResourceQuota,\
MutatingAdmissionWebhook,\
ValidatingAdmissionWebhook

Custom admission control with OPA Gatekeeper:

apiVersion: templates.gatekeeper.sh/v1
kind: ConstraintTemplate
metadata:
  name: k8srequiredlabels
spec:
  crd:
    spec:
      names:
        kind: K8sRequiredLabels
      validation:
        openAPIV3Schema:
          type: object
          properties:
            labels:
              type: array
              items:
                type: string
  targets:
    - target: admission.k8s.gatekeeper.sh
      rego: |
        package k8srequiredlabels

        violation[{"msg": msg}] {
          not input.review.object.metadata.labels["owner"]
          msg := "All resources must have an 'owner' label"
        }

Authentication and Authorization

Authentication Methods

Recommended authentication approaches:

  1. OIDC Integration (Preferred for production)
# API server OIDC configuration
- --oidc-issuer-url=https://accounts.google.com
- --oidc-client-id=kubernetes
- --oidc-username-claim=email
- --oidc-groups-claim=groups
  1. Service Account Tokens (For workloads)
apiVersion: v1
kind: ServiceAccount
metadata:
  name: app-sa
  namespace: production
---
apiVersion: v1
kind: Pod
metadata:
  name: app
spec:
  serviceAccountName: app-sa
  automountServiceAccountToken: true
  1. Certificate-based Authentication (For admin access)

RBAC Best Practices

Principle of least privilege:

# Role with minimal permissions
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
  name: pod-reader
  namespace: production
rules:
- apiGroups: [""]
  resources: ["pods"]
  verbs: ["get", "list", "watch"]
---
# RoleBinding to specific user
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
  name: read-pods
  namespace: production
subjects:
- kind: User
  name: jane@example.com
  apiGroup: rbac.authorization.k8s.io
roleRef:
  kind: Role
  name: pod-reader
  apiGroup: rbac.authorization.k8s.io

Common RBAC anti-patterns to avoid:

  • ❌ Binding cluster-admin to service accounts
  • ❌ Using wildcard (*) permissions
  • ❌ Granting permissions at cluster level when namespace-level suffices
  • ❌ Sharing service accounts across applications
  • ❌ Not reviewing and auditing RBAC regularly

Audit RBAC permissions:

# Check who can do what
kubectl auth can-i list pods --as=jane@example.com -n production

# Audit all permissions for service account
kubectl auth can-i --list --as=system:serviceaccount:production:app-sa

Network Security and Policies

Network Policy Implementation

Default deny-all policy (recommended starting point):

apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: default-deny-all
  namespace: production
spec:
  podSelector: {}
  policyTypes:
  - Ingress
  - Egress

Allow specific traffic patterns:

apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: api-allow-from-web
  namespace: production
spec:
  podSelector:
    matchLabels:
      app: api
  policyTypes:
  - Ingress
  ingress:
  - from:
    - podSelector:
        matchLabels:
          app: web
    ports:
    - protocol: TCP
      port: 8080

Egress control for external services:

apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: api-egress-database
  namespace: production
spec:
  podSelector:
    matchLabels:
      app: api
  policyTypes:
  - Egress
  egress:
  - to:
    - podSelector:
        matchLabels:
          app: database
    ports:
    - protocol: TCP
      port: 5432
  - to:  # DNS resolution
    - namespaceSelector:
        matchLabels:
          name: kube-system
    - podSelector:
        matchLabels:
          k8s-app: kube-dns
    ports:
    - protocol: UDP
      port: 53

Service Mesh Security

Cilium for advanced networking:

Cilium provides Layer 7 network policies and transparent encryption. Learn more about implementing Cilium in production environments.

apiVersion: cilium.io/v2
kind: CiliumNetworkPolicy
metadata:
  name: api-l7-policy
spec:
  endpointSelector:
    matchLabels:
      app: api
  ingress:
  - fromEndpoints:
    - matchLabels:
        app: web
    toPorts:
    - ports:
      - port: "8080"
        protocol: TCP
      rules:
        http:
        - method: "GET"
          path: "/api/v1/.*"

Istio for zero-trust networking:

apiVersion: security.istio.io/v1beta1
kind: PeerAuthentication
metadata:
  name: default
  namespace: production
spec:
  mtls:
    mode: STRICT  # Require mTLS for all traffic

Ingress Security

Secure ingress configuration:

apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: secure-app
  annotations:
    cert-manager.io/cluster-issuer: "letsencrypt-prod"
    nginx.ingress.kubernetes.io/ssl-redirect: "true"
    nginx.ingress.kubernetes.io/force-ssl-redirect: "true"
    nginx.ingress.kubernetes.io/rate-limit: "100"
spec:
  ingressClassName: nginx
  tls:
  - hosts:
    - app.example.com
    secretName: app-tls
  rules:
  - host: app.example.com
    http:
      paths:
      - path: /
        pathType: Prefix
        backend:
          service:
            name: app
            port:
              number: 8080

Secrets Management

HashiCorp Vault Integration

Why Vault for Kubernetes secrets:

  • Centralized secrets management
  • Dynamic secrets generation
  • Audit logging and access control
  • Encryption as a service
  • Automatic rotation

Vault injection with Vault Agent:

apiVersion: v1
kind: Pod
metadata:
  name: app
  annotations:
    vault.hashicorp.com/agent-inject: "true"
    vault.hashicorp.com/role: "app-role"
    vault.hashicorp.com/agent-inject-secret-database: "database/creds/app"
spec:
  serviceAccountName: app
  containers:
  - name: app
    image: myapp:1.0.0
    env:
    - name: DB_PASSWORD
      value: "file:///vault/secrets/database"

External Secrets Operator

Sync secrets from external providers:

apiVersion: external-secrets.io/v1beta1
kind: SecretStore
metadata:
  name: vault-backend
  namespace: production
spec:
  provider:
    vault:
      server: "https://vault.example.com"
      path: "secret"
      auth:
        kubernetes:
          mountPath: "kubernetes"
          role: "production-role"
---
apiVersion: external-secrets.io/v1beta1
kind: ExternalSecret
metadata:
  name: database-credentials
  namespace: production
spec:
  refreshInterval: 1h
  secretStoreRef:
    name: vault-backend
    kind: SecretStore
  target:
    name: database-secret
    creationPolicy: Owner
  data:
  - secretKey: password
    remoteRef:
      key: database/production
      property: password

Sealed Secrets

Store encrypted secrets in Git:

# Install Sealed Secrets controller
kubectl apply -f https://github.com/bitnami-labs/sealed-secrets/releases/download/v0.24.0/controller.yaml

# Create sealed secret
kubectl create secret generic mysecret \
  --from-literal=password=supersecret \
  --dry-run=client -o yaml | \
  kubeseal -o yaml > sealed-secret.yaml

# Commit sealed-secret.yaml to Git safely
git add sealed-secret.yaml

Secrets Best Practices

Security checklist:

  • ✅ Never commit plain secrets to Git
  • ✅ Use external secrets management (Vault, AWS Secrets Manager)
  • ✅ Enable encryption at rest for etcd
  • ✅ Rotate secrets regularly (automated)
  • ✅ Use short-lived dynamic secrets when possible
  • ✅ Audit secret access
  • ✅ Limit RBAC permissions to secrets
  • ✅ Use separate secrets per environment

Container and Image Security

Image Scanning

Trivy for vulnerability scanning:

# Scan image for vulnerabilities
trivy image myapp:1.0.0

# Scan and fail on HIGH/CRITICAL
trivy image --severity HIGH,CRITICAL --exit-code 1 myapp:1.0.0

# Scan Kubernetes cluster
trivy k8s --report summary cluster

Integrate scanning in CI/CD:

# GitHub Actions example
- name: Run Trivy vulnerability scanner
  uses: aquasecurity/trivy-action@master
  with:
    image-ref: 'myapp:${{ github.sha }}'
    format: 'sarif'
    output: 'trivy-results.sarif'
    severity: 'CRITICAL,HIGH'

- name: Upload Trivy results to GitHub Security
  uses: github/codeql-action/upload-sarif@v2
  with:
    sarif_file: 'trivy-results.sarif'

Image Signing and Verification

Cosign for image signing:

# Generate key pair
cosign generate-key-pair

# Sign image
cosign sign --key cosign.key myapp:1.0.0

# Verify signature
cosign verify --key cosign.pub myapp:1.0.0

Policy enforcement with Kyverno:

apiVersion: kyverno.io/v1
kind: ClusterPolicy
metadata:
  name: verify-image-signature
spec:
  validationFailureAction: enforce
  rules:
  - name: verify-signature
    match:
      any:
      - resources:
          kinds:
          - Pod
    verifyImages:
    - imageReferences:
      - "myregistry.io/*"
      attestors:
      - count: 1
        entries:
        - keys:
            publicKeys: |-
              -----BEGIN PUBLIC KEY-----
              ...
              -----END PUBLIC KEY-----

Minimal Base Images

Distroless images for security:

# Multi-stage build with distroless
FROM golang:1.21 AS builder
WORKDIR /app
COPY . .
RUN CGO_ENABLED=0 go build -o /app/main .

FROM gcr.io/distroless/static-debian11:nonroot
COPY --from=builder /app/main /app/main
USER nonroot:nonroot
ENTRYPOINT ["/app/main"]

Benefits of distroless:

  • Reduced attack surface (no shell, package managers)
  • Smaller image size (faster pulls, less storage)
  • Fewer CVEs (minimal dependencies)
  • Compliance-friendly (less to audit)

Runtime Security and Monitoring

Falco for Runtime Detection

Deploy Falco for threat detection:

# Install Falco via Helm
helm repo add falcosecurity https://falcosecurity.github.io/charts
helm install falco falcosecurity/falco \
  --namespace falco-system \
  --create-namespace

Custom Falco rules:

- rule: Unauthorized Process in Container
  desc: Detect process execution not matching allowed list
  condition: >
    spawned_process and
    container and
    not proc.name in (node, nginx, postgres)
  output: >
    Unauthorized process started
    (user=%user.name command=%proc.cmdline container=%container.name)
  priority: WARNING

- rule: Sensitive File Access
  desc: Detect access to sensitive files
  condition: >
    open_read and
    container and
    fd.name in (/etc/shadow, /etc/passwd, /root/.ssh/id_rsa)
  output: >
    Sensitive file accessed
    (user=%user.name file=%fd.name container=%container.name)
  priority: CRITICAL

Audit Logging

Enable comprehensive audit logging:

apiVersion: audit.k8s.io/v1
kind: Policy
rules:
- level: Metadata
  resources:
  - group: ""
    resources: ["secrets", "configmaps"]

- level: RequestResponse
  verbs: ["create", "update", "patch", "delete"]

- level: Request
  verbs: ["get", "list", "watch"]

- level: None
  users: ["system:kube-proxy"]
  verbs: ["watch"]
  resources:
  - group: ""
    resources: ["endpoints", "services"]

Audit log analysis with SIEM:

# Ship audit logs to SIEM (ELK, Splunk, etc.)
kubectl logs -n kube-system kube-apiserver-* | \
  jq 'select(.verb == "delete" and .user.username != "system:admin")'

Security Monitoring with Prometheus

Track security-relevant metrics:

apiVersion: v1
kind: ConfigMap
metadata:
  name: prometheus-rules
data:
  security.rules: |
    groups:
    - name: security
      rules:
      - alert: PodRunningAsRoot
        expr: |
          kube_pod_container_status_running{container=~".*"}
          * on(pod, namespace) group_left(uid)
          kube_pod_container_security_context_run_as_user{uid="0"} > 0
        annotations:
          summary: "Pod {{ $labels.namespace }}/{{ $labels.pod }} running as root"

      - alert: PrivilegedContainerRunning
        expr: kube_pod_container_status_running{container=~".*"}
          * on(pod, namespace) group_left(privileged)
          kube_pod_container_security_context_privileged{privileged="true"} > 0
        annotations:
          summary: "Privileged container in {{ $labels.namespace }}/{{ $labels.pod }}"

Compliance and Audit Requirements

HIPAA Compliance for Healthcare

Our healthcare Kubernetes security implementation achieved full HIPAA compliance with zero security incidents over 18 months.

HIPAA technical safeguards (§164.312):

  • ✅ Access control (unique user IDs, emergency access)
  • ✅ Audit controls (logging and monitoring)
  • ✅ Integrity controls (data validation)
  • ✅ Transmission security (encryption in transit)

Implementation for Kubernetes:

# Audit logging for HIPAA
apiVersion: audit.k8s.io/v1
kind: Policy
rules:
- level: RequestResponse
  resources:
  - group: ""
    resources: ["secrets"]  # PHI stored in secrets
  omitStages:
  - RequestReceived
  - ResponseStarted

PCI DSS Compliance

PCI DSS requirements for Kubernetes:

  • Network segmentation (Requirement 1)
  • Encryption of cardholder data (Requirement 3)
  • Access control measures (Requirement 7)
  • Security testing and monitoring (Requirement 11)

SOC 2 Type II

Control objectives:

  • Security (CC1-CC7)
  • Availability (A1)
  • Confidentiality (C1)

Kubernetes evidence collection:

# RBAC audit for SOC 2
kubectl get rolebindings,clusterrolebindings --all-namespaces -o yaml

# Pod Security Standards enforcement
kubectl get ns -o yaml | grep pod-security

# Network policy audit
kubectl get networkpolicies --all-namespaces

Security Tools and Automation

Essential Security Tools

1. Kubescape - Kubernetes security scanning

kubescape scan framework nsa --exclude-namespaces kube-system

2. Kube-bench - CIS Kubernetes Benchmark

kube-bench run --targets master,node,controlplane,etcd,policies

3. Kyverno - Policy engine

kubectl apply -f https://raw.githubusercontent.com/kyverno/kyverno/main/config/install.yaml

4. OPA Gatekeeper - Admission control

kubectl apply -f https://raw.githubusercontent.com/open-policy-agent/gatekeeper/master/deploy/gatekeeper.yaml

GitOps Security with ArgoCD

Secure GitOps workflows:

apiVersion: v1
kind: ConfigMap
metadata:
  name: argocd-cm
data:
  # Enforce RBAC
  admin.enabled: "false"

  # Require signature verification
  repository.credentials: |
    url: https://github.com/myorg/*
    type: git
    sshPrivateKey: |
      -----BEGIN PRIVATE KEY-----
      ...
      -----END PRIVATE KEY-----

Our CI/CD consulting services help teams implement secure GitOps workflows with policy enforcement and audit trails.

Automated Security Testing

Integrate security into CI/CD:

  1. Image scanning (Trivy, Snyk, Grype)
  2. IaC scanning (Checkov, Terraform Sentinel)
  3. SBOM generation (Syft)
  4. Policy validation (Conftest, Kyverno CLI)
  5. Secret scanning (Gitleaks, TruffleHog)

Implementation Roadmap

Phase 1: Foundation (Weeks 1-2)

  • Enable RBAC and remove default service account permissions
  • Implement Pod Security Standards (baseline level)
  • Enable audit logging
  • Deploy network policies (default deny)
  • Scan existing images for vulnerabilities

Phase 2: Hardening (Weeks 3-4)

  • Integrate external secrets management (Vault)
  • Implement admission controllers (OPA Gatekeeper)
  • Deploy runtime security (Falco)
  • Enable encryption at rest
  • Certificate rotation automation

Phase 3: Compliance (Weeks 5-6)

  • Document security controls
  • Implement compliance policies
  • Set up SIEM integration
  • Conduct security assessment
  • Create incident response playbooks

Phase 4: Continuous Improvement

  • Regular security audits
  • Penetration testing
  • Chaos engineering
  • Team training
  • Policy refinement

Conclusion

Kubernetes security requires continuous attention across multiple layers—from infrastructure to runtime. By implementing the practices in this guide, you’ll significantly reduce your attack surface and achieve compliance with industry standards.

Key takeaways:

  • Adopt defense-in-depth strategy (4C’s model)
  • Implement least privilege everywhere (RBAC, network policies)
  • Automate security testing in CI/CD pipelines
  • Use external secrets management
  • Monitor runtime behavior continuously
  • Maintain compliance documentation

Need help securing your Kubernetes infrastructure? Tasrie IT Services specializes in Kubernetes security implementations for healthcare, finance, and enterprise organizations. Our team has achieved HIPAA, PCI DSS, and SOC 2 compliance for production Kubernetes platforms processing millions of transactions.

Schedule a free security assessment to identify vulnerabilities in your Kubernetes clusters and get a customized hardening roadmap.

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