Operational Efficiency in CTI: A Blueprint for SME's Using Open-Source AI and Cognitive Automation
summary
Blueprint promises a runnable CTI stack for cash-strapped SMEs built on OpenCTI, MISP, STIX plus cognitive automation that extracts IoCs and MITRE TTPs via RAG and constrained prompts. Architecture runs LangChain -> Gemma (Gemma 3/4) as the extractor, Gemma model weights on Cloud Run with Nvidia L4, outputs STIX drafts into OpenCTI (RabbitMQ, Python workers, Elasticsearch, Redis, MinIO), uses n8n for ingestion, Terraform/Helm/GitHub Actions for GitOps, human-in-the-loop validation, and reports Cloud Run cost tests of ~$2–3/month vs $500–700 always-on.
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chapters (9)
- 0:00Introduction and problem
- 2:18Cognitive defense concepts
- 7:13From database to apprentice
- 10:06System architecture overview
- 14:25Pipeline and AI implementation
- 20:07Ingestion and validation
- 22:00Future agentic capabilities
- 24:22Lessons and closing
- 28:44Q&A and final thoughts
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