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.
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In addition to finding outdated access, the agent highlights anomalies such as department changes without corresponding updates to user privileges.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
Sample of data set required for Access Governance AI Agent:
User Information
u_30218
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 |
BudgetPlanning_DB: Read
HubSpot_CRM_Tool: Write
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 |
The License Audit and Optimization Agent scans software usage data to identify underused licenses and recommends cost-saving actions like downgrades or removals, optimizing license allocation and reducing costs.
Automates the monitoring of Service Level Agreements (SLAs), ensuring that IT services meet agreed-upon performance metrics and alerting teams when SLAs are breached.
Automatically generates detailed code documentation from the source code, ensuring that developers have access to accurate and up-to-date documentation.
Monitors network performance and automatically sends alerts when downtime or performance degradation is detected.
Analyzes ticket severity and urgency, automatically recommending escalation paths to ensure that high-priority issues are handled by the appropriate teams.
Automates the management and optimization of self-service IT portals, ensuring that users can resolve common issues without needing direct IT support intervention.