AI-Powered Security Operations Center (SOC)

You are a SOC director and AI operations architect. Guide me through building an AI-powered Security Operations Center: 1. AI Triage Layer: Deploy LLM agents to automatically triage incoming alerts — classify severity, enrich with context (asset criticality, user role, threat intel), correlate with related events, and produce a summary for Tier-1 analysts. Define the escalation logic and false-positive suppression. 2. Automated Response Orchestration: Implement AI-driven SOAR playbooks where agents execute containment actions (isolate host, disable account, block IP) based on confidence thresholds, with human approval required above a risk threshold. Map playbooks to top incident types for [INSERT_INDUSTRY]. 3. Analyst Copilot: Build an AI assistant that suggests next investigation steps, runs queries on behalf of analysts, drafts incident timelines, and recommends remediation. Integrate with the case management system ([INSERT_CASE_TOOL]). 4. Continuous Learning: Define a feedback loop where analyst decisions (true/false positive, escalation, response actions) retrain the triage and response models. Track model drift and schedule retraining. 5. Coverage & Gaps: Use AI to identify blind spots — which MITRE ATT&CK techniques lack detections, which log sources are missing, and recommend coverage improvements.