WGU E026 | AI for IT Automation and Security | 2026 Expanded Editable Study Guide
Vendarsol • Study Aid
,WGU E026 | AI for IT Automation and Security | 2026 Expanded Editable Study Guide
Contents
Executive Overview
Academic Integrity and Use Note
A. AI-Generated Network Topology
A1. AI Tool Used
A2. AI Prompt Used
A3. AI-Generated Topology Description
B. GNS3 Topology Implementation
B1. GNS3 Environment Setup
B2. Device Inventory
B3. Connectivity and Addressing
C. Network Architecture and Security
C1. VLAN Segmentation
C2. Routing and Switching
C3. Firewall and DMZ
D. AI Automation and Security
D1. Automation Opportunities
D2. Human Validation
E. Testing and Validation
E1. Functional Tests
E2. Security Tests
F. Monitoring and Incident Response
G. Risk Management
H. Documentation and Evidence
I. Troubleshooting
J. Governance and Change Management
K. Practice Questions
Final Submission Checklist
References
Vendarsol • Study Aid
, WGU E026 | AI for IT Automation and Security | 2026 Expanded Editable Study Guide
Executive Overview
This editable example framework describes an AI-assisted enterprise network design and its recreation in a GNS3
simulation environment. The design separates external connectivity, perimeter security, internal users, servers,
public-facing services, and monitoring resources.
AI is treated as a design-assistance capability rather than an authority. The topology, addressing, security controls,
and validation procedures must be reviewed by a human before they are considered acceptable.
Academic Integrity and Use Note
Use this document as a study aid and example framework. Replace generic examples with your own
implementation, screenshots, test results, observations, and analysis. Verify the current assessment instructions
and rubric before submission.
Key principle
The strongest report connects four elements: the business/security requirement, the implemented control, the
evidence that the control works, and the reasoning behind the design.
Vendarsol • Study Aid
Vendarsol • Study Aid
,WGU E026 | AI for IT Automation and Security | 2026 Expanded Editable Study Guide
Contents
Executive Overview
Academic Integrity and Use Note
A. AI-Generated Network Topology
A1. AI Tool Used
A2. AI Prompt Used
A3. AI-Generated Topology Description
B. GNS3 Topology Implementation
B1. GNS3 Environment Setup
B2. Device Inventory
B3. Connectivity and Addressing
C. Network Architecture and Security
C1. VLAN Segmentation
C2. Routing and Switching
C3. Firewall and DMZ
D. AI Automation and Security
D1. Automation Opportunities
D2. Human Validation
E. Testing and Validation
E1. Functional Tests
E2. Security Tests
F. Monitoring and Incident Response
G. Risk Management
H. Documentation and Evidence
I. Troubleshooting
J. Governance and Change Management
K. Practice Questions
Final Submission Checklist
References
Vendarsol • Study Aid
, WGU E026 | AI for IT Automation and Security | 2026 Expanded Editable Study Guide
Executive Overview
This editable example framework describes an AI-assisted enterprise network design and its recreation in a GNS3
simulation environment. The design separates external connectivity, perimeter security, internal users, servers,
public-facing services, and monitoring resources.
AI is treated as a design-assistance capability rather than an authority. The topology, addressing, security controls,
and validation procedures must be reviewed by a human before they are considered acceptable.
Academic Integrity and Use Note
Use this document as a study aid and example framework. Replace generic examples with your own
implementation, screenshots, test results, observations, and analysis. Verify the current assessment instructions
and rubric before submission.
Key principle
The strongest report connects four elements: the business/security requirement, the implemented control, the
evidence that the control works, and the reasoning behind the design.
Vendarsol • Study Aid
