# Implementing Privileged Access Workstation

> Use when design and implement Privileged Access Workstations (PAWs) with device hardening, just-in-time access, and integration with CyberArk or BeyondTrust for secure administrative operations. Use when designing and implement privileged access workstations (paws) with device hardening,.

- Skill: `oyi77/implementing-privileged-access-workstation` (Agent Skill)
- Install (CLI): `npx skillmds add oyi77/implementing-privileged-access-workstation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/oyi77/implementing-privileged-access-workstation/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Integrations & APIs
- License: Apache-2.0
- Author: oyi77 (https://skillmd.com/u/oyi77)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/oyi77/implementing-privileged-access-workstation

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# Implementing Privileged Access Workstation

## Overview

A Privileged Access Workstation (PAW) is a hardened device dedicated to performing sensitive administrative tasks. This skill covers PAW design using the tiered administration model, device compliance enforcement via Microsoft Intune or Group Policy, just-in-time (JIT) access provisioning, and integration with privileged access management (PAM) platforms like CyberArk and BeyondTrust.


## When to Use
**Trigger phrases:**
- "implementing privileged access workstation"
- "Design and implement Privileged Access Workstations (PAWs) with device hardening"


- When deploying or configuring implementing privileged access workstation 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

- Windows 10/11 Enterprise with Virtualization Based Security (VBS)
- Microsoft Intune or Active Directory Group Policy
- CyberArk Privileged Access Security or BeyondTrust Password Safe (optional)
- Python 3.9+ with `requests`, `subprocess`, `json`
- Administrative access to target endpoints

## Steps

```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. Audit current privileged access patterns and identify Tier 0/1/2 assets
2. Configure device hardening baselines (AppLocker, Credential Guard, Device Guard)
3. Enforce compliance policies via Intune or GPO
4. Implement just-in-time access with time-limited admin group membership
5. Integrate with CyberArk/BeyondTrust for credential vaulting
6. Validate PAW configuration against CIS and Microsoft PAW guidance
7. Monitor privileged sessions and generate compliance reports

## Expected Output

- JSON report listing device compliance status, hardening checks, JIT access windows, and PAM integration verification
- Risk scoring per workstation with remediation recommendations
## When NOT to Use

- You need to test the implementation (use performing-* skills)
- Task is about configuring existing tools (use configuring-* skills)
- You need to analyze security events (use analyzing-* skills)
- Task is about building detection rules (use building-* skills)
- You don't have access to the target environment
- Task requires vendor-specific expertise (consult vendor docs)


## Red Flags

- Performing actions without explicit written authorization from the asset owner
- Testing against production systems without a defined scope and rules of engagement
- Modifying cloud IAM policies or security groups without approval
- Exposing cloud credentials or secrets in logs or reports
- Running scans that generate excessive API calls and trigger billing alerts

## Process

1. **Prepare** — Gather requirements, verify prerequisites, set up environment
1. **Execute** — Run implementing privileged access workstation workflow with configured parameters
1. **Verify** — Validate output meets requirements, document results

## Verification

- All steps executed successfully against a test environment before production use
- Output documented with screenshots or logs demonstrating expected behavior
- Cloud resource changes reverted or documented as intentional
- IAM policies reviewed for least-privilege compliance after testing
- No residual test resources left running (cost and security check)

## 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. |