Securing Kubernetes On Cloud

---
name: securing-kubernetes-on-cloud
description: Use when this skill covers hardening managed Kubernetes clusters on EKS,
  AKS, and GKE by implementing Pod Security Standards, network policies, workload
  identity, RBAC scoping, image admission controls, and runtime security monitoring.
  It addresses cloud-specific security features including IRSA for EKS, Workload Identity
  for GKE, and Managed Identities for AKS.
domain: cybersecurity
tags:
- kubernetes-security
- eks
- aks
- gke
- pod-security-standards
- container-runtime
subdomain: cloud-security
version: 1.0.0
author: oyi77
license: Apache-2.0
nist_csf:
- PR.IR-01
- ID.AM-08
- GV.SC-06
- DE.CM-01
category: cybersecurity
---

# Securing Kubernetes On Cloud

## Overview

Cybersecurity skill for securing kubernetes on cloud. Follows industry best practices and security standards.

## When to Use
**Trigger phrases:**
- "securing kubernetes on cloud"
- "This skill covers hardening managed Kubernetes clusters on EKS, AKS, and GKE by "


- When deploying new managed Kubernetes clusters in production with security requirements
- When hardening existing EKS, AKS, or GKE clusters after a security audit or pentest finding
- When implementing workload identity to eliminate static cloud credentials in pods
- When enforcing pod security policies across namespaces to prevent container escapes
- When integrating runtime security monitoring for detecting container-level threats

**Do not use** for non-Kubernetes container deployments like ECS Fargate or Azure Container Instances, for application-level security within containers (see securing-serverless-functions), or for CI/CD pipeline security (see implementing-cloud-devsecops).


## When NOT to Use

- When you lack proper authorization for testing
- For production systems without change management
- When the task requires legal or compliance expertise beyond technical scope


## Prerequisites

- Managed Kubernetes cluster provisioned on EKS, AKS, or GKE with admin access
- kubectl configured with cluster admin credentials
- Familiarity with Kubernetes RBAC, namespaces, and security contexts
- Container network interface plugin supporting network policies (Calico, Cilium)

## Workflow

```python
# Example: IOC detection
import re

IOC_PATTERNS = {
    "ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
    "domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
    "hash_md5": r"\b[a-f0-9]{32}\b",
    "hash_sha256": r"\b[a-f0-9]{64}\b",
}

def extract_iocs(text: str) -> dict:
    return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}
```

1. **Define Objectives** — Clarify the goals and scope for kubernetes on cloud.
2. **Gather Resources** — Collect tools, data, and access needed for kubernetes on cloud.
3. **Execute Process** — Carry out kubernetes on cloud operations methodically.
4. **Verify Quality** — Check results against acceptance criteria.
5. **Document Outcomes** — Record findings, decisions, and next steps.

## Tools

- **Analysis Platform** — Data processing and visualization
- **Collaboration Tools** — Team coordination and knowledge sharing


## Process

1. **Plan** — Define infrastructure requirements, security constraints, rollback strategy
1. **Implement** — Configure resources, apply security best practices, test in staging
1. **Deploy & Monitor** — Roll out to production, verify health checks, set up alerting

## Verification

- [ ] All kubernetes on cloud procedures executed completely and documented
- [ ] Findings validated against multiple data sources
- [ ] False positives identified and filtered
- [ ] Results documented with evidence and timestamps
- [ ] Recommendations provided with risk-based prioritization

## Anti-Rationalization Table

| Rationalization | Reality |
|---|---|
| "We are too small to be targeted" | Automated attacks target everyone. Size does not matter. |
| "Security slows us down" | A breach slows you down 100x more. Build security in from the start. |
| "We will fix it after launch" | Vulnerabilities in production are exploited within hours. Fix before deploy. |