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Introduction:
The release of EntraOps v0.5 marks a pivotal shift in identity security, moving from reactive monitoring to proactive, AI-driven threat exposure management. This open-source framework leverages Large Language Models (LLMs) to analyze your Microsoft Entra ID environment, automating the discovery of misconfigurations and dangerous privilege accumulations that traditional tools miss. By treating identity configurations as code, it enables security teams to visualize the exact attack paths an adversary could exploit, transforming raw identity data into actionable, prioritized intelligence.
Learning Objectives:
- Understand how experimental AI agents in EntraOps automate the discovery of privilege tier breaches and insecure identity hygiene.
- Learn to identify and mitigate critical risks associated with privileged accounts, role-assignable groups, and nested PIM assignments.
- Implement step-by-step commands and configurations to deploy EntraOps for continuous identity security posture assessment and integrate findings into SIEM tools like Microsoft Sentinel.
You Should Know:
1. How AI Agents Automate Executive-Level Threat Reporting
The new experimental GitHub Custom Agents are the core of v0.5’s innovation. The EntraOps Report Agent scans your Entra ID’s “as-code” data, applies the Enterprise Access Model tiering (like Control Plane), and hunts for critical findings such as permanent high-privilege assignments, risky guest accounts in sensitive roles, and identities without secure ownership models. It then generates a markdown report complete with severity ratings, evidence links, and even ASCII diagrams of potential attack paths.
Step-by-step guide to initialize and run the Report Agent:
Prerequisite: Data Export. First, you must export your environment’s privileged data using the EntraOps PowerShell module.
Import the module and connect to your tenant
Import-Module ./EntraOps
Connect-EntraOps -AuthenticationType "UserInteractive" -TenantName "yourtenant.onmicrosoft.com"
Export all privileged role assignments and classifications to JSON
Save-EntraOpsPrivilegedEAMJson -RBACSystems @("EntraID", "ResourceApps", "IdentityGovernance")
Agent Execution: The agents are designed to run in a GitHub Actions workflow after the data is committed. The agent will parse the generated JSON files, apply classification rules, and cross-reference with Microsoft Sentinel data (if configured) for user risk events (UserRiskEvents_CL) and security incidents.
Output Analysis: Review the generated report. A high-severity finding might be: “Tier Breach Identified: User ‘app-admin’ (Cloud-only) has an eligible Control Plane role assignment but is owned by a high-risk service principal.” This directly highlights a violation of the principle of least privilege and an ownership risk.
- The Hidden Danger of Nested PIM in Role-Assignable Groups
EntraOps v0.5 specifically fixes limitations in analyzing nested Privileged Identity Management (PIM) within role-assignable groups. This is critical because nested eligible memberships create complex, often invisible, escalation paths. For instance, a user eligible for a low-privilege group that itself is an eligible member of a high-privilege, role-assignable group can activate a chain of memberships to gain unintended access. Microsoft warns that assignments activatable without approval can leave you vulnerable to compromise by less-privileged administrators.
Step-by-step guide to audit nested and eligible assignments with PowerShell:
Load your previously collected EntraOps data
$EntraOpsData = Get-EntraOpsPrivilegedEAM -RbacSystem ("EntraID", "IdentityGovernance")
Filter for role assignments that come from eligible or nested group membership
$RiskyAssignments = $EntraOpsData | Select-Object -ExpandProperty RoleAssignments | Where-Object { $<em>.RoleAssignmentSubType -eq "Eligible member" -or $</em>.RoleAssignmentSubType -like "Nested" }
Display the risky paths
$RiskyAssignments | Format-Table ObjectDisplayName, RoleAssignmentScopeName, RoleDefinitionName, RoleAssignmentSubType, PIMAssignmentType
Mitigation Command: For any group providing access to sensitive roles, enforce an approval requirement in PIM. This can be configured in the Microsoft Entra admin center under Identity Governance > Privileged Identity Management > Groups. Select the group and modify the membership activation policy to Require approval.
- Correlating Work and Privileged Identities for Threat Hunting
A key update in v0.5 enhances correlation between a user’s privileged admin account and their regular work account by leveraging Microsoft Defender linking and IdentityAccountInfo. This is vital for detecting lateral movement. An attacker compromising a standard user account may use it to manipulate or activate the privileges of the associated admin account. Microsoft’s security operations guidance mandates monitoring privileged account sign-ins for anomalies like impossible travel, unfamiliar locations, and sign-ins from anonymous proxies (like TOR).
Step-by-step guide to create a proactive KQL hunt query in Microsoft Sentinel:
Prerequisite: Ensure EntraOps classification data is ingested into a Log Analytics workspace as a custom table (e.g., PrivilegedEAM_CL).
KQL Query: This query joins identity correlation data with risky sign-ins.
// Hunt for risky sign-ins by users with correlated privileged accounts
let PrivilegedUsers = PrivilegedEAM_CL
| where ObjectType == "user"
| project UserPrincipalName = tostring(ObjectId), CorrelatedWorkAccount = todynamic(IdentityAccountInfo);
AADSignInLogs
| where RiskLevelDuringSignIn in ("medium", "high")
| join kind=inner PrivilegedUsers on $left.UserPrincipalName == $right.CorrelatedWorkAccount
| project TimeGenerated, UserPrincipalName, AppDisplayName, IPAddress, RiskLevelDuringSignIn, RiskEventTypes, Location
Automate Response: In Sentinel, create an automation rule from this query to trigger an incident and optionally disable the high-risk privileged account while requiring a password reset and MFA re-registration.
4. Governing AI Agents and Automating Access Packages
The visibility updates for “Agent Identities” and the classification of Entra roles in access packages are a direct response to the new wave of AI-driven workload identities. Microsoft Entra now supports access packages for agent identities, allowing you to govern their permissions with time-bound, approved assignments instead of standing access. A sponsor can be assigned to oversee the agent’s access lifecycle.
Step-by-step guide to create a secure access package for an AI Agent:
1. In the Microsoft Entra admin center, navigate to Identity Governance > Entitlement management > Access packages.
2. Click + New access package. Name it (e.g., “Marketing DB Read-Only Agent Access”).
3. In the Resource roles selection, add the specific Entra ID group or application role the AI agent requires.
4. Critical Step: In the Request policy, under “For users, service principals, and agent identities,” select All agents (preview) to include agent identities.
5. Configure approvals, set a 180-day expiration, and enable sponsor notifications. This ensures the agent’s access is reviewed and not permanent.
- Hardening Security with Restricted Management Administrative Units (RMAU)
EntraOps can automatically identify privileged objects (users, groups) that lack stringent protection and assign them to a dedicated “UnprotectedObjects” Restricted Management Administrative Unit (RMAU). RMAUs restrict who can manage these sensitive objects, a crucial Zero-Trust control. This complements the native protection of role-assignable groups, which can only be managed by Global or Privileged Role Administrators, preventing lower-tier admins from adding themselves to privileged groups.
Step-by-step guide to find unprotected objects and apply hardening:
Use EntraOps to find privileged objects not already protected by RMAU, role-assignable group, or direct role assignment
$UnprotectedObjects = $EntraOpsData | Where-Object {
$<em>.RestrictedManagementByRAG -ne $True -and
$</em>.RestrictedManagementByAadRole -ne $True -and
$<em>.RestrictedManagementByRMAU -ne $True -and
$</em>.ObjectType -ne "serviceprincipal"
}
$UnprotectedObjects | Format-Table ObjectType, ObjectDisplayName
Remediation: Manually add these objects to an RMAU via the Microsoft Entra admin center (Identity > Administrative units). For automation, use the Microsoft Graph API to add members to the administrative unit, a process that can be integrated into the EntraOps pipeline.
What Undercode Say:
The Perimeter is Now Identity: The most critical attack surface is no longer your network firewall but the complex web of identity privileges and relationships in Entra ID. Tools like EntraOps that map this terrain are essential.
Automation is Non-Negotiable: Manual auditing of privileged access is impossible at scale and in dynamic cloud environments. The integration of AI for continuous analysis and DevOps pipelines for enforcement represents the future of identity security posture management.
The analysis suggests we are moving beyond simple privilege discovery into predictive threat exposure management. EntraOps v0.5, by using LLMs to interpret identity graphs, doesn’t just find problems—it explains the “so what” by visualizing attack paths. This evolution turns identity data into a proactive security asset. The focus on agent identities and automated governance also shows the industry scrambling to secure the next frontier: autonomous AI workloads. The future impact is clear: security teams that fail to adopt similar AI-augmented, code-based approaches to identity will be overwhelmed by the scale and complexity of modern attack surfaces, leaving dangerous misconfigurations undetected until they are exploited.
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IT/Security Reporter URL:
Reported By: Thomasnaunheim Entraops – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
