Access Governance AI Agent Icon

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In addition to finding outdated access, the agent highlights anomalies such as department changes without corresponding updates to user privileges.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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