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MITRE ATT&CK Framework-Driven Security Incident Intelligence Analysis and Automated Ticket Update

This workflow utilizes the MITRE ATT&CK framework and AI language models to achieve intelligent analysis of security incidents and automatic updates of work orders. It can automatically extract attack techniques and tactics, provide actionable security remediation recommendations, and conduct in-depth correlation analysis using historical data. Additionally, the analysis results can be directly updated to the work order system, significantly improving the efficiency and accuracy of security incident response, reducing the burden of manual analysis, and building an intelligent security operation process for enterprises.

Workflow Diagram
MITRE ATT&CK Framework-Driven Security Incident Intelligence Analysis and Automated Ticket Update Workflow diagram

Workflow Name

MITRE ATT&CK Framework-Driven Security Incident Intelligence Analysis and Automated Ticket Update

Key Features and Highlights

This workflow integrates the MITRE ATT&CK threat intelligence framework with OpenAI’s advanced language models to enable intelligent analysis of Security Information and Event Management (SIEM) data. Its core capabilities include automatic extraction of attack techniques and tactics (TTPs), providing targeted and actionable security remediation recommendations, correlating historical security alert patterns, and recommending authoritative external resources to enrich incident context. The workflow also automates the writing of analysis results into Zendesk ticketing system, facilitating intelligent and automated security operations.

Core Problems Addressed

  • Automatically parsing and structuring complex security alert data to reduce manual analysis workload.
  • Rapid identification of attack techniques and tactics to improve the accuracy and efficiency of incident response.
  • Providing contextual correlation by combining historical data with the MITRE ATT&CK knowledge base to support security decision-making.
  • Automatically updating intelligence results into the ticketing system to optimize security operations workflows.

Use Cases

  • Intelligent analysis and response to SIEM alerts within enterprise Security Operations Centers (SOC).
  • Automatic correlation of security incidents with the MITRE ATT&CK framework to enhance threat detection capabilities.
  • Automated creation and updating of security tickets to support security teams in quickly locating and mitigating threats.
  • In-depth exploration and retrospective analysis of historical security incidents and attack techniques by threat intelligence teams.

Main Process Steps

  1. Data Acquisition: Receive security alert messages either via manual trigger or Webhook, and batch retrieve Zendesk security tickets.
  2. MITRE Data Loading: Pull MITRE ATT&CK framework JSON data from Google Drive, parse it, and embed it into the Qdrant vector database.
  3. Text Segmentation and Embedding: Segment security alert texts and generate text embeddings using OpenAI models for vector retrieval.
  4. Vector Retrieval and Analysis: Query the Qdrant vector database to match the most relevant MITRE ATT&CK techniques and tactics, incorporating contextual information.
  5. AI Intelligent Reasoning: Invoke an AI agent trained on MITRE ATT&CK knowledge to extract TTP information, generate specific remediation steps, and analyze historical patterns.
  6. Structured Output Parsing: Use a structured output parser to convert AI responses into standardized data formats.
  7. Ticket Update: Automatically write analysis results into corresponding Zendesk tickets’ internal notes and custom fields.
  8. Iterative Processing: Sequentially process all related tickets to complete batch automated updates.

Involved Systems and Services

  • OpenAI GPT-4o and Embedding Models: For natural language understanding and knowledge inference.
  • Qdrant Vector Database: To store and retrieve vectorized MITRE ATT&CK framework data.
  • Google Drive: Storage for MITRE ATT&CK JSON data files.
  • Zendesk: Security ticket management system enabling automated intelligence writing and ticket updates.
  • n8n Node Integration: Including Webhook triggers, text splitting, loop batch processing, and other workflow control nodes.

Target Users and Value

  • Security Operations Teams (SOC): Enhance alert analysis efficiency and accuracy, quickly pinpointing attack techniques.
  • Incident Response Personnel: Receive concrete, actionable remediation recommendations to reduce response time.
  • Threat Intelligence Analysts: Deepen threat understanding through automated correlation and historical pattern analysis.
  • IT Operations and Security Managers: Automate security incident handling to optimize operational workflows and reduce manual costs.
  • Medium to Large Enterprises and Security Service Providers: Strengthen overall security posture and build intelligent security operations capabilities.

Centered on the MITRE ATT&CK knowledge base and leveraging advanced AI language models and vector retrieval technology, this workflow enables intelligent parsing of security alerts and automated ticket updates, empowering organizations to build efficient and intelligent security operations and response capabilities.