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Auditing Azure Active Directory Configuration

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mukul975
auditing-azure-active-directory-configuration

Auditing Microsoft Entra ID (Azure Active Directory) configuration to identify risky authentication policies, overly permissive role assignments, stale accounts, conditional access gaps, and guest user risks using AzureAD PowerShell, Microsoft Graph API, and ScoutSuite.

Overview

Publishermukul975
RepositoryAnthropic-Cybersecurity-Skills
Skill nameauditing-azure-active-directory-configuration
Stars
34.3K
Forks
4.2K
Bundled files
2
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by mukul975 on GitHub. Read the source before you install it.

Installation

Install the Auditing Azure Active Directory Configuration AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/auditing-azure-active-directory-configuration
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git /tmp/Anthropic-Cybersecurity-Skills
mkdir -p .claude/skills
cp -r /tmp/Anthropic-Cybersecurity-Skills/skills/auditing-azure-active-directory-configuration .claude/skills/auditing-azure-active-directory-configuration
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Auditing Azure Active Directory Configuration in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Auditing Azure Active Directory Configuration on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Auditing Azure Active Directory Configuration is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Auditing Azure Active Directory Configuration

When to Use

  • When performing a security assessment of an Azure tenant's identity configuration
  • When compliance audits require review of authentication policies, MFA enforcement, and role assignments
  • When onboarding a new Azure tenant after merger or acquisition
  • When investigating suspicious sign-in activity or compromised accounts
  • When validating conditional access policies adequately protect against identity-based attacks

Do not use for on-premises Active Directory auditing (use PingCastle or BloodHound AD), for Azure resource-level RBAC auditing without identity context, or for real-time threat detection (use Microsoft Defender for Identity).

Prerequisites

  • Global Reader or Security Reader role in the target Microsoft Entra ID tenant
  • Microsoft Graph PowerShell SDK installed (Install-Module Microsoft.Graph)
  • Az CLI authenticated to the target tenant (az login --tenant TENANT_ID)
  • ScoutSuite with Azure provider configured for automated assessment
  • Access to Azure AD audit logs and sign-in logs (requires Azure AD Premium P1/P2)

Workflow

Step 1: Enumerate Tenant Configuration and Security Defaults

Assess the tenant's baseline identity security settings including security defaults and legacy authentication status.

powershell
# Connect to Microsoft Graph
Connect-MgGraph -Scopes "Directory.Read.All","Policy.Read.All","AuditLog.Read.All"

# Get tenant details
Get-MgOrganization | Select-Object DisplayName, Id, VerifiedDomains

# Check if Security Defaults are enabled
Get-MgPolicyIdentitySecurityDefaultEnforcementPolicy | Select-Object IsEnabled

# List authentication methods policies
Get-MgPolicyAuthenticationMethodPolicy | ConvertTo-Json -Depth 5

# Check legacy authentication status via Conditional Access
Get-MgIdentityConditionalAccessPolicy | Where-Object {
    $_.Conditions.ClientAppTypes -contains "exchangeActiveSync" -or
    $_.Conditions.ClientAppTypes -contains "other"
} | Select-Object DisplayName, State

Step 2: Audit Privileged Role Assignments

Review directory role assignments to identify over-privileged users, permanent admin accounts, and risky role configurations.

bash
# List all Global Administrator assignments
az rest --method GET \
  --url "https://graph.microsoft.com/v1.0/directoryRoles/filterByIds" \
  --body '{"ids":["62e90394-69f5-4237-9190-012177145e10"]}' | \
  az rest --method GET \
  --url "https://graph.microsoft.com/v1.0/directoryRoles?filter=displayName eq 'Global Administrator'" \
  --query "value[0].id" -o tsv

# List all privileged role assignments using Graph API
az rest --method GET \
  --url "https://graph.microsoft.com/v1.0/roleManagement/directory/roleAssignments?\$expand=principal" \
  --query "value[*].{Role:roleDefinitionId, Principal:principal.displayName, PrincipalType:principal.@odata.type}" \
  -o table

# Check for users with multiple admin roles
az ad user list --query "[].{UPN:userPrincipalName, DisplayName:displayName}" -o table

# List service principals with admin role assignments
az rest --method GET \
  --url "https://graph.microsoft.com/v1.0/roleManagement/directory/roleAssignments?\$filter=principalOrganizationId eq 'TENANT_ID'" \
  -o json

Step 3: Review Conditional Access Policies

Audit conditional access policies for coverage gaps, particularly around MFA enforcement, device compliance, and location-based restrictions.

powershell
# List all Conditional Access policies
Get-MgIdentityConditionalAccessPolicy | Select-Object DisplayName, State, @{
    N='GrantControls'; E={$_.GrantControls.BuiltInControls -join ', '}
} | Format-Table -AutoSize

# Identify policies in report-only mode (not enforced)
Get-MgIdentityConditionalAccessPolicy | Where-Object {$_.State -eq "enabledForReportingButNotEnforced"} |
    Select-Object DisplayName

# Check MFA enforcement coverage
Get-MgIdentityConditionalAccessPolicy | Where-Object {
    $_.GrantControls.BuiltInControls -contains "mfa"
} | Select-Object DisplayName, State, @{
    N='Users'; E={$_.Conditions.Users.IncludeUsers -join ', '}
}

# Find policies that exclude groups (potential bypass)
Get-MgIdentityConditionalAccessPolicy | Where-Object {
    $_.Conditions.Users.ExcludeGroups.Count -gt 0
} | Select-Object DisplayName, @{
    N='ExcludedGroups'; E={$_.Conditions.Users.ExcludeGroups -join ', '}
}

Step 4: Identify Stale Accounts and Guest Users

Find accounts that have not signed in recently, disabled accounts with active role assignments, and risky guest user configurations.

bash
# Find users who haven't signed in for 90+ days
az ad user list --query "[?signInActivity.lastSignInDateTime < '2025-11-25T00:00:00Z'].{UPN:userPrincipalName, LastSignIn:signInActivity.lastSignInDateTime, Enabled:accountEnabled}" -o table

# List all guest users
az ad user list --filter "userType eq 'Guest'" \
  --query "[].{UPN:userPrincipalName, DisplayName:displayName, CreatedDate:createdDateTime}" \
  -o table

# Find guest users with privileged roles
az rest --method GET \
  --url "https://graph.microsoft.com/v1.0/roleManagement/directory/roleAssignments?\$expand=principal" \
  --query "value[?principal.userType=='Guest'].{Role:roleDefinitionId,Guest:principal.userPrincipalName}" \
  -o table

# Check for accounts with disabled MFA
az rest --method GET \
  --url "https://graph.microsoft.com/v1.0/reports/authenticationMethods/userRegistrationDetails" \
  --query "value[?!isMfaRegistered].{UPN:userPrincipalName,MfaRegistered:isMfaRegistered}" \
  -o table

Step 5: Analyze Sign-In Logs for Risky Activity

Review sign-in logs to identify anomalous authentication patterns, failed MFA challenges, and risky sign-in detections.

bash
# Get risky sign-ins from last 7 days
az rest --method GET \
  --url "https://graph.microsoft.com/v1.0/auditLogs/signIns?\$filter=riskLevelDuringSignIn ne 'none' and createdDateTime ge 2026-02-16T00:00:00Z" \
  --query "value[*].{User:userPrincipalName,Risk:riskLevelDuringSignIn,IP:ipAddress,App:appDisplayName,Status:status.errorCode}" \
  -o table

# Get sign-ins from unfamiliar locations
az rest --method GET \
  --url "https://graph.microsoft.com/v1.0/auditLogs/signIns?\$filter=riskEventTypes_v2/any(r:r eq 'unfamiliarFeatures')" \
  --query "value[*].{User:userPrincipalName,Location:location.city,IP:ipAddress}" \
  -o table

# Check for legacy authentication sign-ins
az rest --method GET \
  --url "https://graph.microsoft.com/v1.0/auditLogs/signIns?\$filter=clientAppUsed ne 'Browser' and clientAppUsed ne 'Mobile Apps and Desktop clients'" \
  --query "value[*].{User:userPrincipalName,ClientApp:clientAppUsed,Status:status.errorCode}" \
  -o table

Step 6: Run ScoutSuite Automated Assessment

Execute ScoutSuite for comprehensive automated checks across the Azure tenant configuration.

bash
# Run ScoutSuite against Azure
python3 -m ScoutSuite azure --cli \
  --report-dir ./scoutsuite-azure-report \
  --all-subscriptions

# Review the generated HTML report
open ./scoutsuite-azure-report/azure-report.html

Key Concepts

TermDefinition
Microsoft Entra IDMicrosoft's cloud identity and access management service, formerly Azure Active Directory, providing authentication and authorization
Conditional AccessPolicy engine that evaluates signals (user, device, location, risk) to enforce access controls like MFA, device compliance, or block access
Security DefaultsMicrosoft's baseline identity protection settings that enforce MFA registration, block legacy auth, and protect privileged actions
Privileged Identity ManagementAzure AD Premium P2 feature enabling just-in-time privileged access with approval workflows and time-bound role activation
Legacy AuthenticationOlder authentication protocols (POP3, IMAP, SMTP, ActiveSync) that do not support MFA and are commonly exploited for credential attacks
Risky Sign-InMicrosoft Entra Identity Protection detection of sign-in anomalies including impossible travel, unfamiliar locations, and malware-linked IPs

Tools & Systems

  • Microsoft Graph API: Primary programmatic interface for querying Entra ID configuration, policies, roles, and audit logs
  • Microsoft Graph PowerShell SDK: PowerShell module for Entra ID management and security auditing tasks
  • ScoutSuite: Multi-cloud auditing tool with Azure provider support for IAM, storage, networking, and identity checks
  • AzureADRecon: Community tool for comprehensive Azure AD reconnaissance and security assessment reporting
  • Microsoft Defender for Identity: Cloud-based security solution for detecting identity-based threats and compromised credentials

Common Scenarios

Scenario: Post-Acquisition Azure Tenant Security Assessment

Context: After acquiring a company, the security team needs to assess the Azure tenant identity posture before integrating it with the corporate Entra ID.

Approach:

  1. Enumerate all Global Administrators and check for personal accounts in admin roles
  2. Review conditional access policies to verify MFA is enforced for all users, not just admins
  3. Identify guest users with privileged access that may indicate third-party vendor over-permissioning
  4. Check for stale accounts (no sign-in for 90+ days) that could be targets for credential attacks
  5. Review sign-in logs for legacy authentication usage that bypasses MFA
  6. Verify Security Defaults or equivalent CA policies block legacy auth protocols
  7. Produce a risk report with prioritized remediation steps before tenant integration

Pitfalls: Azure AD Premium P2 is required for risky sign-in detections and PIM. If the acquired tenant uses a lower license tier, many identity protection features will be unavailable. Guest users from partner tenants may have implicit access through dynamic groups that are not visible in standard role assignment queries.

Output Format

Azure Active Directory Security Audit Report
===============================================
Tenant: acme-acquired.onmicrosoft.com
Tenant ID: a1b2c3d4-e5f6-7890-abcd-ef1234567890
Audit Date: 2026-02-23
License: Azure AD Premium P2

IDENTITY CONFIGURATION:
  Security Defaults: Disabled (Conditional Access in use)
  Conditional Access Policies: 12 (8 enforced, 3 report-only, 1 disabled)
  Legacy Auth Blocked: Partial (blocked for admins only)

PRIVILEGED ACCESS:
  Global Administrators:              8 (recommended: <= 4)
  Permanent admin assignments:        6 (no PIM activation required)
  Service principals with admin:      3
  Guest users with privileged roles:  2

ACCOUNT HYGIENE:
  Total users:                        1,247
  Stale accounts (90+ days):          89
  Guest users:                        234
  Users without MFA registered:       156

SIGN-IN RISK:
  Risky sign-ins (last 30 days):      34
  Legacy auth sign-ins (last 7 days): 67
  Impossible travel detections:        5
  Unfamiliar location sign-ins:       12

CRITICAL FINDINGS:
  1. 8 Global Administrators with permanent assignments (use PIM)
  2. Legacy authentication not blocked for non-admin users
  3. 156 users without MFA registration
  4. 2 guest users with Privileged Role Administrator role

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Auditing Azure Active Directory Configuration AI skill do?

Auditing Microsoft Entra ID (Azure Active Directory) configuration to identify risky authentication policies, overly permissive role assignments, stale accounts, conditional access gaps, and guest user risks using AzureAD PowerShell, Microsoft Graph API, and ScoutSuite.

Why use Auditing Azure Active Directory Configuration on TypingMind?

Because you install it once and use it with any model. Auditing Azure Active Directory Configuration is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Auditing Azure Active Directory Configuration in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/auditing-azure-active-directory-configuration. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Auditing Azure Active Directory Configuration?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Auditing Azure Active Directory Configuration?

As many as you like. As long as a model supports skills, you can use Auditing Azure Active Directory Configuration with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Auditing Azure Active Directory Configuration AI skill free?

Yes. It is published on GitHub by mukul975 under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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