Introducing Overage SCUs (Security Compute Unit) in Security Copilot

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Microsoft’s Security Copilot has introduced a game-changing feature: Overage Security Compute Units (SCUs). This innovation enhances automation use cases and enables broader promptbook runs by allowing organizations to utilize a low base-SCU allocation while paying only for additional SCU consumption as needed.

A prime example is Sentinel incident triage playbooks, which may intermittently require significant SCU resources for large-scale incidents. Stefano’s customized triage playbook, combining SOAR (Security Orchestration, Automation, and Response) and GenAI, perfectly demonstrates this capability.

Key Resources:

You Should Know:

1. Understanding SCUs (Security Compute Units)

SCUs measure the computational resources consumed by Security Copilot. They are used for:
– AI-driven security analysis
– Automated incident response
– Large-scale log processing

🔹 Check SCU Usage (Azure CLI):

az security copilot usage show --resource-group MyResourceGroup --workspace-name MyWorkspace

2. Implementing Sentinel Triage Playbooks

Stefano’s playbook integrates SOAR and GenAI, optimizing incident response.

🔹 Deploy a Sentinel Playbook (PowerShell):

New-AzSentinelAlertRule -ResourceGroupName "MyRG" -WorkspaceName "MyWorkspace" -DisplayName "AI-Driven Triage" -Query "SecurityAlert | where Severity == 'High'" -Enabled $true

3. Cost Optimization with Overage SCUs

Instead of over-provisioning, use on-demand SCUs for peak loads.

🔹 Monitor SCU Consumption (KQL in Sentinel):

SecurityCopilotUsage 
| summarize TotalSCU = sum(ComputeUnits) by bin(TimeGenerated, 1d)
| render columnchart

4. Automating Incident Response

Leverage Logic Apps for automated workflows.

🔹 Trigger a Playbook via HTTP (Bash cURL):

curl -X POST -H "Content-Type: application/json" -d '{"IncidentID":"12345"}' https://your-logicapp-url.azurewebsites.net

5. Security Copilot API Integration

Extend automation using REST APIs.

🔹 Fetch Security Recommendations (Python):

import requests

headers = {"Authorization": "Bearer YOUR_ACCESS_TOKEN"}
response = requests.get("https://api.securitycopilot.microsoft.com/v1/recommendations", headers=headers)
print(response.json())

What Undercode Say:

Microsoft’s Overage SCUs provide a flexible, cost-effective way to scale security operations. By combining SOAR, GenAI, and Azure Sentinel, organizations can automate high-volume incident triage without over-provisioning resources.

🔹 Key Linux Commands for Security Analysts:

 Monitor Azure resource logs
az monitor activity-log list --resource-group MyRG --offset 24h

Check running processes for anomalies
ps aux | grep -i "suspicious_process"

Analyze network connections
netstat -tulnp | grep ESTABLISHED

🔹 Windows Security Commands:

 Check recent security events
Get-WinEvent -FilterHashtable @{LogName='Security'; ID=4624} -MaxEvents 10

Verify firewall rules
Get-NetFirewallRule | Where-Object { $_.Enabled -eq 'True' } 

🔹 Sentinel & KQL Tricks:

// Find brute-force attacks
SecurityEvent 
| where EventID == 4625 
| summarize Attempts = count() by Account, IPAddress 
| where Attempts > 5

Expected Output:

A scalable, AI-driven security operations framework that optimizes costs while maintaining robust threat detection and response.

For further reading:

References:

Reported By: Markolauren Securitycopilot – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

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