Individual skill
implementing-device-posture-assessment-in-zero-trust
Implements device posture assessment as a zero trust access control by integrating endpoint health signals from CrowdStrike ZTA, Microsoft Intune, and Jamf into conditional access policies that enforce compliance before granting access. Use when requiring device health checks before app access, wiring posture signals into conditional access, or implementing the CISA Zero Trust device pillar.
skills/implementing-device-posture-assessment-in-zero-trust/SKILL.md
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- License
- Apache-2.0
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- ai-agents Repository topic
- claude-code Repository topic
- cybersecurity Repository topic
- incident-response Repository topic
- mitre-attack Repository topic
- penetration-testing Repository topic
- red-team Repository topic
- security Repository topic
- cloud-security Repository topic
- malware-analysis Repository topic
- device-posture Declared skill tag
- zero-trust Declared skill tag
- endpoint-compliance Declared skill tag
- crowdstrike-zta Declared skill tag
- intune Declared skill tag
- conditional-access Declared skill tag
- jamf Declared skill tag
- legal Derived category
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# Implementing Device Posture Assessment in Zero Trust
## When to Use
- When enforcing device health as a prerequisite for accessing corporate applications
- When integrating CrowdStrike ZTA scores, Intune compliance, or Jamf device status into access decisions
- When implementing CISA Zero Trust Maturity Model device pillar requirements
- When building conditional access policies that adapt based on real-time endpoint security posture
- When detecting and blocking access from compromised, unmanaged, or non-compliant devices
**Do not use** for IoT or headless devices that cannot run posture agents, as a standalone security control without identity verification, or when real-time posture data is unavailable and stale compliance data would create false trust.
## Prerequisites