Leveraging Microsoft Security Copilot for Automated Threat Investigations

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Introduction

Microsoft Security Copilot is revolutionizing cybersecurity operations by integrating AI-driven automation into threat investigations. With the general availability of the Copilot Studio connector, security teams can now streamline workflows by submitting prompts and fetching investigation statuses programmatically. This article explores key commands, API integrations, and practical use cases to enhance security operations.

Learning Objectives

  • Understand how to submit and track Security Copilot prompts via API.
  • Configure Copilot Studio workflows for automated threat analysis.
  • Integrate Security Copilot with existing SIEM/SOAR tools for scalable investigations.

You Should Know

1. Submitting a Security Copilot Prompt via API

API Endpoint:

POST https://api.security.microsoft.com/copilot/prompts

Headers:

{ 
"Authorization": "Bearer {access_token}", 
"Content-Type": "application/json" 
}

Body:

{ 
"prompt": "Investigate suspicious login attempts from IP 192.168.1.100", 
"priority": "High" 
}

Steps:

  1. Authenticate using Azure AD to obtain an access token.
  2. Submit the prompt with a natural language query.
  3. Capture the `investigation_id` from the response for tracking.

2. Fetching Investigation Status

API Endpoint:

GET https://api.security.microsoft.com/copilot/prompts/{investigation_id}/status

Usage:

curl -X GET -H "Authorization: Bearer $TOKEN" \ 
"https://api.security.microsoft.com/copilot/prompts/12345/status"

Response:

{ 
"status": "Completed", 
"findings": "Malicious activity confirmed: Brute force attack detected." 
}

3. Integrating with Azure Logic Apps

Workflow Configuration:

1. Navigate to Azure Portal > Logic Apps.

  1. Use the Security Copilot Connector to trigger investigations.
  2. Parse responses to automate ticket creation in ITSM tools like ServiceNow.

4. Hardening API Access

IAM Policy Example (Azure):

{ 
"Effect": "Deny", 
"Action": "securityCopilot:SubmitPrompt", 
"Condition": { 
"NotIpAddress": {"aws:SourceIp": ["10.0.0.0/16"]} 
} 
}

5. Enabling Logging for Auditing

Azure CLI Command:

az monitor diagnostic-settings create \ 
--resource /subscriptions/{sub-id}/providers/Microsoft.Security/copilot \ 
--name "CopilotAuditLogs" \ 
--logs '[{"category": "SecurityCopilotActivity", "enabled": true}]' \ 
--workspace "/subscriptions/{sub-id}/resourcegroups/{rg}/providers/microsoft.operationalinsights/workspaces/{workspace}"

What Undercode Say

  • Key Takeaway 1: Security Copilot’s API-first approach enables seamless integration with existing workflows, reducing mean time to respond (MTTR) by 40–60%.
  • Key Takeaway 2: Conditional access policies are critical to prevent abuse of Copilot’s generative AI capabilities.

Analysis:

The Copilot Studio connector marks a shift toward autonomous security operations. By 2025, expect 70% of Tier-1 SOC tasks (e.g., alert triage) to be fully automated via such AI integrations. However, organizations must balance automation with oversight—implementing granular logging and RBAC to mitigate prompt injection risks.

Prediction

AI-augmented investigations will become the SOC standard by 2026, but adversarial ML attacks targeting Copilot’s decision logic will emerge. Proactive hardening (e.g., input sanitization, anomaly detection on API calls) will separate resilient enterprises from vulnerable ones.

References:

IT/Security Reporter URL:

Reported By: Sami Lamppu – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

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