Project Description
When a security alert fires, every second counts. SOC analysts typically spend precious minutes — sometimes hours — manually researching threat context, cross-referencing MITRE ATT&CK techniques, and documenting findings. Our MITRE ATT&CK SIEM Enrichment system compresses that process into seconds using AI-powered vector search.
The system embeds the entire MITRE ATT&CK framework — tactics, techniques, sub-techniques, and mitigations — into a Qdrant vector database. When SIEM alerts arrive, they’re automatically processed through an AI chatbot that matches alert signatures against the knowledge base, enriches Zendesk security tickets with relevant threat intelligence, and provides SOC teams with instant, contextual guidance for incident response.
The impact is transformative: analysts get immediate context instead of starting from scratch, ticket quality improves dramatically, and response times shrink from hours to minutes. It’s the kind of force multiplier that lets a lean security team punch well above its weight.
See It In Action
Key Features
Vector-Embedded ATT&CK Framework
The complete MITRE ATT&CK knowledge base stored as searchable vector embeddings.
AI-Powered Alert Triage
Incoming SIEM alerts are automatically analyzed and matched to known attack patterns.
Zendesk Ticket Enrichment
Security tickets are automatically enriched with threat context and recommended mitigations.
Instant SOC Context
Analysts get immediate, relevant intelligence instead of hours of manual research.
Technologies Used
n8n, Qdrant Vector Database, OpenAI Embeddings, MITRE ATT&CK Framework, Zendesk API, SIEM Integration
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AI-powered MITRE ATT&CK threat enrichment pipeline. Connects to your existing SIEM and ticketing system (Zendesk, Jira, ServiceNow). Typical deployment: 2-3 weeks.
Starting at $4,000
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