AI incident response Troubleshooting: Mastery
RCCE students will learn incident response procedures for AI-related security events including AI system compromise, model manipulation, training data breaches, and AI output abuse. RCCE students will learn to identify and classify AI security incidents, apply containment strategies specific to AI systems including model isolation and rollback, collect AI-specific forensic evidence including model versions, training data, and inference logs, investigate root causes of AI incidents, coordinate response efforts between AI engineering, security, and legal teams, develop AI-specific incident response playbooks, and conduct post-incident analysis to improve AI system security. This diagnostic course focuses on identifying, analyzing, and resolving common failures, misconfigurations, and operational issues. Starting from foundational concepts, RCCE students will learn systematic troubleshooting methodologies that accelerate root-cause analysis and minimize downtime. Students work through realistic break-fix scenarios that build the diagnostic confidence needed for high-pressure production environments.
- Security Engineers building defensive controls
- Security Analysts and Blue Team members
- Systems Administrators with security responsibilities
- GRC and Risk Professionals supporting controls
- Professionals implementing AI incident response Troubleshooting: Mastery
- Execute hands-on tasks for troubleshooting: mastery
- Execute hands-on tasks for learning objectives
- Execute hands-on tasks for identify & classify — covering Recognize AI security incidents.
- Execute hands-on tasks for contain & isolate — covering Model isolation techniques, Model version snapshots.
- Execute hands-on tasks for collect ai forensics — covering Model version snapshots.
- Build detections and response workflows for privilege escalation, including Cross-team communication.
- Execute hands-on tasks for investigate root causes — covering Systematic troubleshooting.
- Execute hands-on tasks for post-incident improvement — covering Lessons learned processes, Playbook refinement, Security posture hardening.
- Explain Module Overview fundamentals — covering Core concepts and terminology.
- Execute hands-on tasks for threat & failure modes — covering AI-specific attack vectors.
- Execute hands-on tasks for ai ir fundamentals — covering Core concepts and terminology.
- Build detections and response workflows for privilege escalation, including Containment and isolation.
| Module 01 | Troubleshooting: Mastery |
| Module 02 | Learning Objectives |
| Module 03 | Identify & Classify |
| Module 04 | Contain & Isolate |
| Module 05 | Collect AI Forensics |
| Module 06 | Coordinate Response |
| Module 07 | Investigate Root Causes |
| Module 08 | Post-Incident Improvement |
| Module 09 | Module Overview |
| Module 10 | Threat & Failure Modes |
| Module 11 | AI IR Fundamentals |
| Module 12 | Response Operations |
| Module 13 | Recovery & Improvement |
| Module 14 | AI Systems Architecture Overview |
All hands-on labs run on Rocheston Rose X OS. Students practice ai incident response troubleshooting: mastery by implementing the controls discussed in class, with a focus on real-world deployment, monitoring, and validation.
- Lab 1: Execute hands-on tasks for troubleshooting: mastery
- Lab 2: Execute hands-on tasks for learning objectives
- Lab 3: Execute hands-on tasks for identify & classify
- Lab 4: Execute hands-on tasks for contain & isolate
- Lab 5: Execute hands-on tasks for collect ai forensics
Upon successful completion of this course, students will receive an official RCCE Course Completion Certificate for AI incident response Troubleshooting: Mastery, verifiable through the Rocheston certification portal.
- Full access to all course materials and slide decks
- Hands-on lab access on Rocheston Rose X OS environment
- Access to Rocheston CyberNotes
- Access to Rocheston Zelfire — EDR/XDR SIEM platform
- Access to Rocheston Raven — online cyber range exercise platform
- Access to Rocheston Vulnerability Vines AI