SIEM Integration for AI
Advanced SIEM integration for AI agent ecosystems — custom detection rules, agent-specific log schemas, cross-system correlation, and the security operations architecture that makes AI threats visible at enterprise scale.
9 Lessons · ~0.4 Hours · 3 Modules
Instructor: DRILL — Academy Director
Module 1: AI-Specific Log Architecture
Designing log schemas that capture the AI-specific telemetry your SIEM needs — beyond infrastructure metrics to model behavior, prompt interactions, and tool usage patterns.
- The AI Telemetry Gap (4 min read)
- Log Schema Design for AI Events (3 min read)
- Log Pipeline Engineering (3 min read)
Module 2: AI Detection Engineering
Writing SIEM detection rules for AI-specific threats — from simple pattern matches to complex behavioral correlations that identify sophisticated attack sequences.
- Detection Rule Categories (4 min read)
- Tuning and False Positive Management (3 min read)
- Detection as Code (3 min read)
Module 3: SOC Operations for AI
Running security operations for AI agent ecosystems — analyst workflows, investigation playbooks, and the operational practices that make SIEM investment produce security outcomes.
- AI Alert Triage (3 min read)
- AI Investigation Workflows (4 min read)
- SIEM Maturity for AI Security (3 min read)