Microsoft Security Copilot Transforms Phishing Email Triage with AI-Driven Intent Detection and Seamless Sentinel Integration

Microsoft Security Copilot revolutionizes phishing email triage by automating analysis using AI-driven intent detection. Deployed in under 10 minutes with Azure Logic and Function Apps, it reduces manual review from 25 minutes to seconds, improving threat detection and integrating seamlessly with Microsoft Sentinel for streamlined SOC workflows. Unique :

Automating Phishing Email Triage with Microsoft Security Copilot

Phishing attacks keep getting smarter, and so do the tools to fight them. Microsoft’s new solution automates phishing email triage using AI, Azure Logic Apps, and Microsoft Security Copilot. It’s designed to save security teams hours of tedious work while improving threat detection accuracy.

What’s New: AI-Powered Phishing Triage in Under 10 Minutes

This solution can be deployed in less than 10 minutes and focuses on analyzing email intent rather than traditional indicators like malicious links or attachments. It’s perfect for emails that slip past existing filters but still raise suspicion among users.

“Effective phishing doesn’t rely on obvious IOCs like malicious domains, URLs, or attachments… the danger lies in the intent.”

By leveraging Microsoft Security Copilot’s large language model (LLM), the system evaluates the structure, tone, and context of emails. This means it spots phishing attempts even when the usual red flags are missing.

Major Updates: How the Solution Works

Core Components

Azure Logic Apps: Orchestrates the entire workflow from email ingestion to AI analysis.
Azure Function Apps: Parses and normalizes email data for efficient AI consumption.
Microsoft Security Copilot: Performs advanced AI reasoning to classify emails by intent.

Key Benefits

Rapid Analysis: Processes emails in 30-60 seconds, compared to 25+ minutes manually.
AI-Driven Insights: Detects subtle phishing cues like urgency, seasonal themes, and social engineering tactics.
Detailed Reports: Generates clear HTML summaries for easy analyst review.
Attachment Parsing: Scans PDFs and Excel files for malicious content or suspicious context.
Microsoft Sentinel Integration: Optional, but streamlines incident tracking by embedding AI analysis directly into incidents.

Why This Matters: The Last Mile of Phishing Defense

Security teams often drown in user-reported emails, many of which are benign or ambiguous. This AI-powered triage system turns noisy inboxes into actionable intelligence. It frees analysts to focus on real threats instead of repetitive manual reviews.

“It transforms noisy inboxes into structured intelligence and empowers analysts to focus only on what truly matters.”

Plus, it’s customizable. Teams can tweak Logic Apps and AI prompts to fit their unique workflows and threat landscapes.

Getting Started: Quick and Secure Deployment

Deploying this solution requires an Azure subscription, a shared Office 365 mailbox, and Microsoft Security Copilot enabled. ARM templates simplify setup, and detailed instructions are available on the Security Copilot GitHub page.

Security best practices are baked in, including Azure Managed Identities for credentials and safe parsing of attachments without execution risks.

Final Thoughts

Microsoft Security Copilot’s phishing triage automation is a game-changer for SOC teams. It dramatically cuts review time, improves detection of sophisticated phishing, and integrates seamlessly with existing Microsoft security tools.

If you’re tired of drowning in phishing reports, this solution is worth exploring. It’s the future of smart, scalable email threat defense.

Analyzes email intent beyond traditional indicators like malicious domains or attachments.

Generates detailed, human-readable HTML reports summarizing threats and recommendations.

Processes attachments such as PDFs and Excel files for hidden malicious content.

Offers customizable workflows via Azure Logic Apps and prompt tuning for organizational needs.

Includes robust retry policies ensuring reliable AI analysis despite service latency or Sentinel logging delays.

From the New blog articles in Microsoft Community Hub