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entra-permissions-management

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Updated 10-16 01:14

About this skill

Microsoft Entra Permissions Management

Microsoft Entra Permissions Management is a Cloud Infrastructure Entitlement Management (CIEM) solution that provides visibility and control over permissions for identities, actions, and resources across Microsoft Azure, AWS, and Google Cloud in a single pane.

When to use

Discovering and reducing excessive, unused, and over-privileged cloud permissions across a multicloud estate, driving toward least privilege. Use this skill when the estate spans multiple clouds; for Azure-only RBAC choice use azure-role-selector.

Map the goal to the right CIEM action

If the goal is... Use Notes
Quantify how over-privileged each identity is Permission Creep Index (PCI) 0-100; > 65 = high risk
Find unused permissions per identity Activity-based right-sizing report Compares granted vs used over 90 days
Generate a least-privilege policy from observed activity Auto-generated policy (right-sizing) Per identity per cloud
Grant elevated permission temporarily On-demand permissions request Approval-based, time-bound
Detect anomalous permission usage Anomaly detection alerts First-time-seen action, mass action
Catch over-privileged workload identity Non-human identity report Service principals, IAM roles, GCP SAs

Rule of thumb: start with PCI > 65 identities and the non-human identity report. Service principals and machine identities typically hold the largest gap between granted and used permissions and rarely fight back when you right-size them.

Approach

  1. Onboard each cloud — Connect Azure subscriptions (single or multiple), AWS accounts (per-account or AWS Organizations), and GCP projects. Permissions Management collects entitlement and activity data via read-only roles. Verify: data collector status = green for each cloud account; activity events flowing within 24 hours.

  2. Baseline for 90 days — Don't right-size based on 7 days of activity. Quarterly business cycles (month-end close, audit) need full coverage. Verify: "data collection period" shows ≥ 90 days before remediation work.

  3. Sort by PCI - top 20 first — Start with the 20 highest-PCI identities, not the longest list of unused permissions. PCI prioritises by risk (granted breadth + privilege weight), not just count. Verify: top 20 PCI list reduced by ≥ 50 points cumulative after first sprint.

  4. Tackle non-human identities first — Service principals, AWS IAM roles, GCP service accounts. They don't complain when you remove unused permissions and they're often the most over-privileged. Verify: non-human identity PCI distribution shifts left (lower) month over month.

  5. Right-size with auto-generated policies — Use the activity-based policy generator instead of writing JSON manually. Review the diff, apply to a test workload, then production.

  6. Enable on-demand permissions — For high-privilege but rarely-needed permissions, convert standing access to on-demand request flow. Reduces standing risk dramatically.

  7. Monitor + alert — Anomaly detection on first-time-seen action and mass actions. Stream alerts to Sentinel for SOC correlation.

Guardrails

  • Validate activity baselines cover a representative period (90 days minimum) before aggressively right-sizing. Anything less misses quarterly or month-end-only workflows and causes outages.
  • Test in a non-production workload first. A right-sized policy that breaks a CI/CD pipeline at 02:00 is worse than the over-privilege.
  • Treat machine/workload identities explicitly - they often hold the largest unused permission gap and rarely fight back when you right-size them. Address them first.
  • Coordinate remediation with workload owners. Right-sizing without informing the owner of the service account causes outages and erodes trust in the programme.
  • Don't right-size break-glass / emergency access roles. Document the exceptions.
  • PCI is a risk score, not a permissions count. Don't compare identities on permission count alone - 5 high-privilege unused beats 50 low-privilege unused.

Common anti-patterns

  • "Right-size after 2 weeks of data" - Misses month-end. Outage.
  • "Start with the easiest report" - Many small wins, no risk reduction. Sort by PCI.
  • "Right-size humans first because there are more of them" - Humans push back; non-humans don't. Non-humans usually carry the highest unused privilege.
  • "Apply auto-generated policies directly to production" - Test workload first.
  • "Onboard only one cloud at a time over months" - Loses the multicloud visibility that is the entire point. Onboard all clouds in the same sprint.
  • "PCI dashboard only - no remediation" - Visibility without action. Track PCI delta monthly as the KPI.

Example prompts

  • Onboard our Azure, AWS, and GCP environments to Entra Permissions Management.
  • Show the top 20 identities by Permission Creep Index and propose a remediation order.
  • Generate a least-privilege policy for our CI/CD service principal based on 90 days of activity.
  • Find non-human identities with PCI > 65 and right-size the top 5.
  • Set up on-demand permission requests for elevated AWS roles.
  • Stream Permissions Management anomaly alerts into Sentinel.

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