mtecoyy/ai-baike/implementing-privileged-access-workstation

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Design and implement Privileged Access Workstations (PAWs) with device hardening, just-in-time access, and integration with CyberArk or BeyondTrust for secure administrative operations.

Install

npx vskill@latest install mtecoyy/ai-baike/implementing-privileged-access-workstation

SKILL.md

The same SKILL.md was published earlier as autohandai/community-skills/implementing-privileged-access-workstation.

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.

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

  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

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
22
Repository forks
4
7-day trend score
21

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