Introduction
Cyber threat intelligence sharing is a crucial aspect of modern security operations. The Legal Services Information Sharing and Analysis Center (LS-ISAC) provides threat intelligence to legal firms through email-based alerts. Manually analyzing these emails is inefficient and time-consuming. Microsoft Security Copilot, powered by GPT-4, can automate the process, providing structured insights with minimal human intervention.
This blog post outlines a step-by-step guide to automating the analysis of LS-ISAC emails using Microsoft Security Copilot, Microsoft Defender, and Sentinel.
Solution Overview
We will set up an automated pipeline where:
LS-ISAC threat intelligence emails are ingested.
Microsoft Security Copilot extracts relevant details.
The threat intelligence is correlated with security events in Microsoft Sentinel.
Security teams receive actionable alerts with recommended mitigations.
Flow Diagram
+------------------+ +--------------------+ +----------------------+
| LS-ISAC Email | ---> | Security Copilot | ---> | Microsoft Sentinel |
| (Threat Intel) | | (AI Processing) | | (Threat Correlation) |
+------------------+ +--------------------+ +----------------------+
| | |
| | |
v v v
+------------------+ +---------------------+ +---------------------+
| Defender for | ---> | Threat Intelligence | ---> | SOC Alerting |
| Office 365 | | (Automated Report) | | (Remediation) |
+------------------+ +---------------------+ +---------------------+
Step-by-Step Implementation
Step 1: Ingest LS-ISAC Emails into Microsoft 365 Defender
Configure Email Rules
Create a rule in Exchange Online to detect LS-ISAC emails.
Apply a transport rule to tag these emails with a specific label.
Forward Emails to Microsoft Sentinel
Enable Microsoft Defender for Office 365 to scan LS-ISAC emails.
Use Microsoft Sentinel Email Ingestion API to store the emails in a dedicated threat intelligence table.
Step 2: Extract and Parse Email Content using Security Copilot
Deploy Security Copilot in Defender
Navigate to Microsoft 365 Defender > Settings > Security Copilot.
Enable AI-assisted threat analysis.
Create an Automated Playbook
Go to Microsoft Sentinel > Playbooks.
Create a Logic App that triggers when an LS-ISAC email is received.
Use Security Copilot API to extract and analyze key indicators (e.g., IoCs, malware signatures, URLs, TTPs).
Step 3: Correlate with Threat Intelligence in Sentinel
Extract Threat Intelligence Indicators
Parse extracted IoCs into a structured format (IP addresses, domains, hashes).
Enrich IoCs with Threat Intelligence Platforms (TIPs) like VirusTotal, AlienVault, or Microsoft Threat Intelligence.
Correlate with Security Logs
Use Kusto Query Language (KQL) in Microsoft Sentinel to check if any IoCs match recent security events.
Example KQL query:
let IoCs = externaldata(IoC:string) ["https://storage.blob.core.windows.net/ioc-list.csv"];
SecurityEvent
| where TimeGenerated > ago(7d)
| where IpAddress in (IoCs) or FileHash in (IoCs)
Step 4: Automate Alerting and Mitigation
Generate Security Alerts
If IoCs match existing threats, create an Incident in Microsoft Sentinel.
Attach AI-generated insights from Security Copilot to the alert.
Automate Response Actions
Use Microsoft Defender XDR to block malicious domains/IPs.
Automate response via Sentinel SOAR Playbooks.
Example: Trigger an Azure Logic App to isolate infected devices.
Notify Security Teams
Send an automated Teams/Email alert with:
Extracted threat intelligence details.
Affected assets.
Suggested mitigations.
Conclusion
Automating the analysis of LS-ISAC emails using Microsoft Security Copilot significantly enhances threat intelligence workflows. This approach enables organizations to:
Rapidly process threat intelligence.
Automate correlation with security events.
Improve incident response times.
By leveraging Microsoft Defender, Sentinel, and SOAR Playbooks, security teams can effectively mitigate threats before they impact the organization.