Implementing Pod Security Admission Controller
Implement Kubernetes Pod Security Admission to enforce baseline and restricted security profiles at namespace level using built-in admission controller.
MCP get_skill({ skillId: "implementing-pod-security-admission-controller-e843b72c" })Use this skill with your agent
Create a free account and connect via MCP
# Implementing Pod Security Admission Controller
## Overview
Pod Security Admission (PSA) is a built-in Kubernetes admission controller (stable since v1.25) that enforces Pod Security Standards at the namespace level. It replaces the deprecated PodSecurityPolicy (PSP) and provides three security profiles: Privileged, Baseline, and Restricted, with three enforcement modes: enforce, audit, and warn.
## When to Use
- When deploying or configuring implementing pod security admission controller capabilities in your environment
- When establishing security controls aligned to compliance requirements
- When building or improving security architecture for this domain
- When conducting security assessments that require this implementation
## Prerequisites
- Kubernetes v1.25+ (PSA is stable/GA)
- kubectl with cluster-admin access
- No dependency on external tools - PSA is built into kube-apiserver
## Pod Security Standards
### Privileged Profile
- **Unrestricted** - No restrictions applied
- Use case: System-level pods (kube-system, monitoring)
### Baseline Profile
- **Minimally restrictive** - Prevents known privilege escalation
- Blocks: privileged containers, hostPID, hostIPC, hostNetwork, hostPorts, certain volume types, adding capabilities beyond runtime defaults
### Restricted Profile
- **Heavily restricted** - Follows security best practices
- Requires: non-root, drop ALL capabilities, seccomp RuntimeDefault, read-only root filesystem considerations
- Blocks: Everything in Baseline plus running as root, privilege escalation, non-approved volume types
## Enforcement Modes
| Mode | Behavior | Use Case |
|------|----------|----------|
| enforce | Reject pods violating policy | Production enforcement |
| audit | Log violations to audit log | Pre-enforcement assessment |
| warn | Show warnings to user | Developer feedback |
## Implementation
### Apply to Namespace via Labels
```yaml
# Restricted enforcement with audit and warn
apiVersion: v1
kind: Namespace
metadata:
name: production
labels:
pod-security.kubernetes.io/enforce: restricted
pod-security.kubernetes.io/enforce-version: v1.28
pod-security.kubernetes.io/audit: restricted
pod-security.kubernetes.io/audit-version: v1.28
pod-security.kubernetes.io/warn: restricted
pod-security.kubernetes.io/warn-version: v1.28
```
```yaml
# Baseline enforcement for staging
apiVersion: v1
kind: Namespace
metadata:
name: staging
labels:
pod-security.kubernetes.io/enforce: baseline
pod-security.kubernetes.io/enforce-version: v1.28
pod-security.kubernetes.io/audit: restricted
pod-security.kubernetes.io/audit-version: v1.28
pod-security.kubernetes.io/warn: restricted
pod-security.kubernetes.io/warn-version: v1.28
```
```yaml
# Privileged for system namespaces
apiVersion: v1
kind: Namespace
metadata:
name: kube-system
labels:
pod-security.kubernetes.io/enforce: privileged
```
### Apply Labels with kubectl
```bash
# Set restricted enforcement
kubectl label namespace production \
pod-security.kubernetes.io/enforce=restricted \
pod-security.kubernetes.io/enforce-version=v1.28 \
pod-security.kubernetes.io/audit=restricted \
pod-security.kubernetes.io/warn=restricted
# Set baseline enforcement
kubectl label namespace staging \
pod-security.kubernetes.io/enforce=baseline \
pod-security.kubernetes.io/audit=restricted \
pod-security.kubernetes.io/warn=restricted
# Check current labels
kubectl get namespace production -o jsonpath='{.metadata.labels}' | jq .
```
## Dry-Run Testing
```bash
# Test what would happen with restricted policy on a namespace
kubectl label --dry-run=server --overwrite namespace staging \
pod-security.kubernetes.io/enforce=restricted
# Output shows existing pods that would violate the policy
# Warning: existing pods in namespace "staging" violate the new PodSecurity enforce level "restricted:latest"
```
## Cluster-Wide Defaults (AdmissionConfiguration)
```yaml
# /etc/kubernetes/psa-config.yaml
apiVersion: apiserver.config.k8s.io/v1
kind: AdmissionConfiguration
plugins:
- name: PodSecurity
configuration:
apiVersion: pod-security.admission.config.k8s.io/v1
kind: PodSecurityConfiguration
defaults:
enforce: baseline
enforce-version: latest
audit: restricted
audit-version: latest
warn: restricted
warn-version: latest
exemptions:
usernames: []
runtimeClasses: []
namespaces:
- kube-system
- kube-public
- kube-node-lease
- calico-system
- gatekeeper-system
- monitoring
- falco
```
### Apply to API Server
```bash
# Add to kube-apiserver manifests
# /etc/kubernetes/manifests/kube-apiserver.yaml
spec:
containers:
- command:
- kube-apiserver
- --admission-control-config-file=/etc/kubernetes/psa-config.yaml
volumeMounts:
- name: psa-config
mountPath: /etc/kubernetes/psa-config.yaml
readOnly: true
volumes:
- name: psa-config
hostPath:
path: /etc/kubernetes/psa-config.yaml
type: File
```
## Compliant Pod Examples
### Restricted-Compliant Pod
```yaml
apiVersion: v1
kind: Pod
metadata:
name: restricted-pod
namespace: production
spec:
securityContext:
runAsNonRoot: true
runAsUser: 1000
runAsGroup: 3000
fsGroup: 2000
seccompProfile:
type: RuntimeDefault
automountServiceAccountToken: false
containers:
- name: app
image: myregistry/myapp:v1.0.0
securityContext:
allowPrivilegeEscalation: false
readOnlyRootFilesystem: true
capabilities:
drop:
- ALL
resources:
limits:
cpu: 500m
memory: 256Mi
requests:
cpu: 100m
memory: 128Mi
volumeMounts:
- name: tmp
mountPath: /tmp
volumes:
- name: tmp
emptyDir: {}
```
### Baseline-Compliant Pod
```yaml
apiVersion: v1
kind: Pod
metadata:
name: baseline-pod
namespace: staging
spec:
containers:
- name: app
image: myregistry/myapp:v1.0.0
securityContext:
allowPrivilegeEscalation: false
resources:
limits:
cpu: 500m
memory: 256Mi
```
## Migration from PodSecurityPolicy
### Step 1: Audit Current State
```bash
# Check existing PSPs
kubectl get psp
# Check which service accounts use which PSP
kubectl get clusterrolebinding -o json | \
jq '.items[] | select(.roleRef.name | startswith("psp-")) | {name: .metadata.name, subjects: .subjects}'
```
### Step 2: Map PSP to PSA Profiles
```bash
# For each namespace, determine required PSA level
for ns in $(kubectl get ns -o jsonpath='{.items[*].metadata.name}'); do
echo "Namespace: $ns"
kubectl label --dry-run=server namespace $ns \
pod-security.kubernetes.io/enforce=restricted 2>&1 | head -5
done
```
### Step 3: Apply PSA Labels (Audit First)
```bash
# Start with audit mode
kubectl label namespace production \
pod-security.kubernetes.io/audit=restricted \
pod-security.kubernetes.io/warn=restricted
```
### Step 4: Review and Fix Violations
```bash
# Check audit logs for violations
kubectl get events --field-selector reason=FailedCreate -A
```
### Step 5: Enable Enforcement
```bash
kubectl label namespace production \
pod-security.kubernetes.io/enforce=restricted
```
## Monitoring
```bash
# Check PSA violations in events
kubectl get events --all-namespaces --field-selector reason=FailedCreate
# Check audit logs
kubectl logs -n kube-system kube-apiserver-* | grep "pod-security.kubernetes.io"
# List namespace PSA labels
kubectl get namespaces -L pod-security.kubernetes.io/enforce
```
## Best Practices
1. **Start with audit+warn** before enforce to assess impact
2. **Use dry-run** to test enforcement before applying
3. **Exempt system namespaces** (kube-system, monitoring) in cluster defaults
4. **Pin version** (enforce-version) for predictable behavior across upgrades
5. **Set cluster-wide baseline** as default, then restrict specific namespaces
6. **Combine with Gatekeeper** for additional custom policies beyond PSA
7. **Use restricted profile** for all production workloads
8. **Document exemptions** with clear justificationRelated Skills
More skills in Security & Compliance
1password
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
1password
Set up and use 1Password CLI for sign-in, desktop integration, and reading or injecting secrets.
Accessibility Lead
Accessibility team lead and orchestrator. Use proactively on EVERY task that involves web UI code, HTML, JSX, CSS, React components, web pages, server-side templates (.leaf, .ejs, .erb, .hbs), or any user-facing web content. This agent coordinates the accessibility specialist team and ensures no accessibility requirement is missed. Runs the final review before any UI code is considered complete. Applies to any web framework, server-side templating framework (Vapor/Leaf, Rails/ERB, Django/Jinja, Express/EJS), or vanilla HTML/CSS/JS. Works alongside other team leads (e.g., swift-lead) in multi-language projects.
Accessibility Regression Detector
Detects accessibility regressions by comparing audit results across commits/branches. Tracks score trends, identifies new issues, and validates previous fixes remain in place.
Accessibility Statement
Generates conformance/accessibility statements following W3C or EU model templates. Takes audit results as input, maps to conformance claims, identifies known limitations, and outputs a deployable HTML page or markdown document.
Accessibility Tool Builder
Expert in building accessibility scanning tools, rule engines, document parsers, report generators, and audit automation. WCAG criterion mapping, severity scoring, CLI/GUI scanner architecture, CI/CD integration.
Explore Other Categories
Skills from other categories with shared topics
Analyzing Malicious PDF With Peepdf
Perform static analysis of malicious PDF documents using peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects.
Analyzing PDF Malware With Pdfid
Analyzes malicious PDF files using PDFiD, pdf-parser, and peepdf to identify embedded JavaScript, shellcode, exploits, and suspicious objects without opening the document. Determines the attack vector and extracts embedded payloads for further analysis. Activates for requests involving PDF malware analysis, malicious document analysis, PDF exploit investigation, or suspicious attachment triage.
Building Devsecops Pipeline With GitLab CI
Design and implement a comprehensive DevSecOps pipeline in GitLab CI/CD integrating SAST, DAST, container scanning, dependency scanning, and secret detection.