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.
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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.
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
Endpoint Detection and Response (EDR): CrowdStrike Falcon with ZTA module, or Microsoft Defender for Endpoint
Mobile Device Management (MDM): Microsoft Intune, Jamf Pro, or VMware Workspace ONE
Identity Provider: Microsoft Entra ID, Okta, or Ping Identity with conditional access capability
Collection of endpoint security attributes (OS version, encryption, EDR status, patch level) evaluated before granting access
CrowdStrike ZTA Score
Numerical score (1-100) calculated by CrowdStrike Falcon assessing endpoint security posture based on OS signals and sensor configuration
Device Compliance Policy
MDM-defined rules specifying minimum security requirements (encryption, PIN, OS version) that devices must meet
Conditional Access
Policy engine (Entra ID, Okta) that evaluates user identity, device compliance, location, and risk before allowing access
Device Trust
Verification that an endpoint is managed, enrolled, and meets security baselines before treating it as trusted
Posture Drift
Degradation of device security posture over time (expired patches, disabled encryption) that should trigger access revocation
Tools & Systems
CrowdStrike Falcon ZTA: Real-time endpoint posture scoring based on OS and sensor security signals
Microsoft Intune: MDM platform enforcing device compliance policies and reporting to Entra ID Conditional Access
Jamf Pro: Apple device management with compliance rules for macOS and iOS endpoints
Microsoft Entra ID Conditional Access: Policy engine consuming Intune compliance and risk signals for access decisions
Okta Device Trust: Device assurance policies integrating with CrowdStrike, Chrome Enterprise, and MDM platforms
Cloudflare Device Posture: WARP client-based posture checks for disk encryption, OS version, and third-party EDR
Common Scenarios
Scenario: Enforcing Device Compliance for 2,000 Endpoints Across Windows and macOS
Context: A healthcare company with 2,000 endpoints (70% Windows, 30% macOS) must enforce HIPAA-compliant device posture before allowing access to patient data systems. Devices are managed by Intune (Windows) and Jamf (macOS) with CrowdStrike Falcon deployed on all endpoints.
Approach:
Define Windows compliance policy in Intune: BitLocker, Secure Boot, TPM, Defender enabled, OS >= 10.0.19045
Define macOS compliance policy in Jamf: FileVault, Gatekeeper, SIP, Firewall, OS >= 14.0
Configure CrowdStrike ZTA thresholds: >= 70 for general apps, >= 85 for patient data systems
Create Entra ID Conditional Access policies requiring compliant device + MFA for all cloud apps
Configure 24-hour grace period for newly non-compliant devices before blocking
Set up weekly compliance report for IT showing non-compliant devices and remediation actions
Pitfalls: Grace periods must be long enough for IT to remediate but short enough to limit risk exposure. CrowdStrike ZTA scores can fluctuate with sensor updates; avoid setting thresholds too aggressively initially. BYOD devices may lack MDM enrollment; provide a separate Browser Access path with reduced functionality for unmanaged devices.
Output Format
Device Posture Assessment Report
==================================================
Organization: HealthCorp
Report Date: 2026-02-23
Total Managed Devices: 2,000
COMPLIANCE BY PLATFORM:
Windows (1,400 devices):
Compliant: 1,302 (93.0%)
Non-compliant: 98 (7.0%)
Top Issue: Missing patches (45), BitLocker disabled (23)
macOS (600 devices):
Compliant: 567 (94.5%)
Non-compliant: 33 (5.5%)
Top Issue: OS outdated (18), FileVault disabled (8)
CROWDSTRIKE ZTA SCORES:
Average Score: 78.4
Devices >= 85 (Critical): 1,456 (72.8%)
Devices >= 70 (Standard): 1,812 (90.6%)
Devices < 50 (Blocked): 34 (1.7%)
CONDITIONAL ACCESS IMPACT (last 7 days):
Total sign-in attempts: 45,678
Blocked by posture: 312 (0.7%)
Remediated within 24h: 289 (92.6%)
Still non-compliant: 23
POSTURE DRIFT ALERTS:
Encryption disabled: 5
EDR sensor stopped: 3
OS downgraded: 1
