AI-Driven Security Operations Demo
Budget: $30 – $250 SGD
Below is a practical step-by-step demo blueprint you can build in a few days.
1. Demo Objective
Show CIOs that the platform can:
Detect a threat
Investigate using AI
Respond automatically
Display the incident in a SOC dashboard
This demonstrates AI-driven security operations.
2. Demo Architecture
Demo environment components:
Layer Technology
Endpoint security Microsoft Defender for Endpoint
Identity security Defender for Identity
Email security Defender for Office
SIEM Microsoft Sentinel
Security analytics Microsoft Fabric
AI investigation Security Copilot
Automation Sentinel SOAR playbooks
AI agents Simulated NTT Agentic AI agents
Infrastructure needed:
1 Windows VM
1 Linux VM
Azure subscription
Microsoft 365 test tenant
3. Step 1 – Create the Demo Environment
Create a simple lab.
Setup:
Create Azure tenant
Deploy 2 virtual machines
Install Defender for Endpoint
Enable Microsoft Sentinel
Connect Azure logs to Sentinel
Enable Security Copilot
Connect Fabric workspace for analytics
This setup takes 2–3 hours.
4. Step 2 – Generate a Security Incident
You need an attack scenario.
Best demo scenario:
Compromised identity + malware execution
Simulate events:
suspicious login attempt
PowerShell script execution
suspicious network connection
Tools you can use:
Atomic Red Team
Microsoft attack simulation
Defender test alerts
These generate alerts in Defender XDR.
5. Step 3 – Detection in Microsoft Sentinel
When the alerts appear:
Sentinel automatically:
correlates signals
creates a security incident
Example alerts:
unusual login
suspicious PowerShell activity
network anomaly
This shows SIEM detection capability.
6. Step 4 – AI Investigation with Security Copilot
Now show the AI investigation.
Example prompt:
“Summarize this incident and explain the attack.”
Security Copilot will:
generate attack timeline
identify affected assets
recommend remediation actions
This is the AI wow moment for CIOs.
7. Step 5 – Fabric Security Analytics
Open a Fabric dashboard.
Show:
identity logs
endpoint signals
network anomalies
Fabric correlates the telemetry to show security + infrastructure analytics.
Explain that Fabric is the Security Data Fabric layer.
8. Step 6 – Automated Response
Now trigger Sentinel SOAR automation.
Playbook actions:
disable compromised user
isolate infected endpoint
block malicious IP
Show the action happening automatically.
This demonstrates autonomous response.
9. Step 7 – Simulated NTT AI Agents
Explain that NTT adds Agentic AI Factory.
Example agents:
Agent Function
Threat Investigation Agent investigates alerts
Identity Risk Agent detects compromised accounts
Cloud Security Agent detects misconfigurations
Infrastructure Agent monitors NOC alerts
These agents trigger Sentinel automation playbooks.
10. SOC Dashboard
Final screen should be the SOC dashboard.
Show:
incident timeline
threat status
automated remediation
risk score
Tools:
Sentinel dashboards
Fabric analytics
Power BI SOC dashboard
11. Demo Story (Very Important)
Boss — the demo must follow a story.
Example narrative:
Step 1
Attacker compromises employee credentials.
Step 2
Endpoint executes malicious script.
Step 3
Microsoft Defender detects suspicious activity.
Step 4
Sentinel correlates alerts.
Step 5
Security Copilot investigates automatically.
Step 6
AI agent isolates the endpoint.
Step 7
SOC dashboard shows threat resolved.
This creates a powerful 5–7 minute demo.
12. AI Tools That Help Build This Demo
These tools accelerate demo creation.
Tool Purpose
Security Copilot AI investigation
Microsoft Sentinel SIEM
Microsoft Defender XDR security alerts
Microsoft Fabric security analytics
Atomic Red Team attack simulation
Power BI SOC dashboards
13. Time Required to Build Demo
If you follow this approach:
Task Time
Environment setup 2–3 hours
Security integration 2 hours
Automation playbooks 1 hour
Attack simulation 30 minutes
Total:
~1 day to build a working demo
1. Demo Objective
Show CIOs that the platform can:
Detect a threat
Investigate using AI
Respond automatically
Display the incident in a SOC dashboard
This demonstrates AI-driven security operations.
2. Demo Architecture
Demo environment components:
Layer Technology
Endpoint security Microsoft Defender for Endpoint
Identity security Defender for Identity
Email security Defender for Office
SIEM Microsoft Sentinel
Security analytics Microsoft Fabric
AI investigation Security Copilot
Automation Sentinel SOAR playbooks
AI agents Simulated NTT Agentic AI agents
Infrastructure needed:
1 Windows VM
1 Linux VM
Azure subscription
Microsoft 365 test tenant
3. Step 1 – Create the Demo Environment
Create a simple lab.
Setup:
Create Azure tenant
Deploy 2 virtual machines
Install Defender for Endpoint
Enable Microsoft Sentinel
Connect Azure logs to Sentinel
Enable Security Copilot
Connect Fabric workspace for analytics
This setup takes 2–3 hours.
4. Step 2 – Generate a Security Incident
You need an attack scenario.
Best demo scenario:
Compromised identity + malware execution
Simulate events:
suspicious login attempt
PowerShell script execution
suspicious network connection
Tools you can use:
Atomic Red Team
Microsoft attack simulation
Defender test alerts
These generate alerts in Defender XDR.
5. Step 3 – Detection in Microsoft Sentinel
When the alerts appear:
Sentinel automatically:
correlates signals
creates a security incident
Example alerts:
unusual login
suspicious PowerShell activity
network anomaly
This shows SIEM detection capability.
6. Step 4 – AI Investigation with Security Copilot
Now show the AI investigation.
Example prompt:
“Summarize this incident and explain the attack.”
Security Copilot will:
generate attack timeline
identify affected assets
recommend remediation actions
This is the AI wow moment for CIOs.
7. Step 5 – Fabric Security Analytics
Open a Fabric dashboard.
Show:
identity logs
endpoint signals
network anomalies
Fabric correlates the telemetry to show security + infrastructure analytics.
Explain that Fabric is the Security Data Fabric layer.
8. Step 6 – Automated Response
Now trigger Sentinel SOAR automation.
Playbook actions:
disable compromised user
isolate infected endpoint
block malicious IP
Show the action happening automatically.
This demonstrates autonomous response.
9. Step 7 – Simulated NTT AI Agents
Explain that NTT adds Agentic AI Factory.
Example agents:
Agent Function
Threat Investigation Agent investigates alerts
Identity Risk Agent detects compromised accounts
Cloud Security Agent detects misconfigurations
Infrastructure Agent monitors NOC alerts
These agents trigger Sentinel automation playbooks.
10. SOC Dashboard
Final screen should be the SOC dashboard.
Show:
incident timeline
threat status
automated remediation
risk score
Tools:
Sentinel dashboards
Fabric analytics
Power BI SOC dashboard
11. Demo Story (Very Important)
Boss — the demo must follow a story.
Example narrative:
Step 1
Attacker compromises employee credentials.
Step 2
Endpoint executes malicious script.
Step 3
Microsoft Defender detects suspicious activity.
Step 4
Sentinel correlates alerts.
Step 5
Security Copilot investigates automatically.
Step 6
AI agent isolates the endpoint.
Step 7
SOC dashboard shows threat resolved.
This creates a powerful 5–7 minute demo.
12. AI Tools That Help Build This Demo
These tools accelerate demo creation.
Tool Purpose
Security Copilot AI investigation
Microsoft Sentinel SIEM
Microsoft Defender XDR security alerts
Microsoft Fabric security analytics
Atomic Red Team attack simulation
Power BI SOC dashboards
13. Time Required to Build Demo
If you follow this approach:
Task Time
Environment setup 2–3 hours
Security integration 2 hours
Automation playbooks 1 hour
Attack simulation 30 minutes
Total:
~1 day to build a working demo