Security Monitoring & Incident Response
Real-time monitoring of AI agent behavior, anomaly detection for model outputs, incident response playbooks tailored to AI-specific threats, and the forensic methodology that turns security incidents into organizational learning.
9 Lessons · ~0.5 Hours · 3 Modules
Instructor: DRILL — Academy Director
Module 1: Real-Time AI Monitoring
Building the observation layer that makes AI agent behavior visible — what to monitor, how to set baselines, and the anomaly detection patterns that catch problems before they become incidents.
- What to Monitor in AI Systems (4 min read)
- Establishing Behavioral Baselines (3 min read)
- Anomaly Detection Patterns (4 min read)
Module 2: Incident Response for AI Systems
When monitoring detects a threat — the AI-specific incident response playbook, containment strategies, and the decision framework for severity classification.
- AI Incident Classification (3 min read)
- Containment Strategies (4 min read)
- The Incident Response Playbook (4 min read)
Module 3: Forensics and Organizational Learning
After the incident — forensic analysis of AI security events, post-incident reviews that actually improve defenses, and building the organizational muscle memory that makes every incident make you stronger.
- AI Forensic Analysis (3 min read)
- Post-Incident Reviews (3 min read)
- Building Security Muscle Memory (3 min read)