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Agents Access Governance AI Agent
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Access Governance AI Agent

Monitors access drift and misalignments using LLMs to explain redundant privileges and streamline continuous access governance.

About the Agent

The Access Governance AI Agent, developed by ZBrain, is designed to help enterprises maintain secure, compliant, and efficient user access across systems. As organizations scale, user entitlements often accumulate without consistent oversight. This agent proactively monitors permissions to detect privilege drift, unused access, and misalignments between user roles and entitlements.

Access Governance AI Agent Workflow

By examining historical access logs, the agent identifies permissions that are unused within a set period or no longer needed due to project completion or role changes. It utilizes Large Language Model (LLM) capabilities to deliver clear, contextual explanations for each flagged issue, enabling IT and security teams to assess and address risks with greater clarity and precision.

In addition to finding outdated access, the agent highlights anomalies such as department changes without corresponding updates to user privileges. These insights support more accurate access reviews, reduce exposure to unauthorized access, and ensure alignment with least-privilege principles. In doing so, the Access Governance AI Agent helps strengthen security and streamlines the process of managing user entitlements.

Accuracy
TBD

Speed
TBD

Input Data Set

Sample of data set required for Access Governance AI Agent:

User Information


    

  • User ID: u_30218
    • 

  • Name: Michael Anderson
    • 

  • Current Role: Marketing Analyst  
    • 

  • Current Department: Marketing  
    • 

  • Previous Role: Financial Operations Specialist  
    • 

  • Previous Department: Finance  
    • 

  • Role Change Date: 2025-05-15
    • 





Access Details


Project-Based Resource Access






Resource Name
Access Type
Last Accessed
Project Name
Project End Date






BudgetPlanning_DB
Read
2025-04-05
FY25 Forecasting
2025-04-30




HubSpot_CRM_Tool
Write
2025-07-28
Q3 Campaign Launch
2025-10-31








Access Control List (ACL)



BudgetPlanning_DB: Read  
HubSpot_CRM_Tool: Write

Deliverable Example

Sample output delivered by the Access Governance AI Agent:

Drift Detection Findings


1. Redundant Access Identified


Resource: BudgetPlanning_DB

Access Type: Read

Last Accessed: 2025-04-05

Project: FY25 Forecasting (ended 2025-04-30)

Reason:  




User has not accessed this resource in over 60 days. The associated project ended, and the user transitioned from the Finance to the Marketing department. Continued access presents unnecessary risk.

Action Recommended: Revoke access

Risk Level: Medium

Audit Note:

"Michael Anderson retained read access to BudgetPlanning_DB post-department switch. Access unused since 2025-04-05 and linked to concluded project. Removal aligns with least privilege policy."






2. Active and Relevant Access


Resource: HubSpot_CRM_Tool

Access Type: Write

Last Accessed: 2025-07-28

Project: Q3 Campaign Launch (ends 2025-10-31)

Reason:  




Access is recent and project is ongoing. Role and department align with tool usage.

Action Recommended: Retain access

Risk Level: Low






Summary Report






Resource Name
Action
Risk Level
Explanation Summary






BudgetPlanning_DB
Revoke Access
Medium
Unused since April; role and project no longer relevant




HubSpot_CRM_Tool
Retain Access
Low
Active usage; aligns with current role and project

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