AI incident response Operations Playbook
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 operations-focused course delivers production-ready playbooks, checklists, and standard operating procedures. Starting from foundational concepts, RCCE students will learn to build repeatable day-to-day operational workflows that ensure consistency and quality. Students receive templates and frameworks they can customize and deploy immediately in their security operations, reducing time to operational effectiveness.
- 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 Operations Playbook
- Execute hands-on tasks for operations playbook
- Explain Course Overview fundamentals
- Execute hands-on tasks for what you will learn
- Execute hands-on tasks for core competencies — covering Identify and classify AI security incidents, Apply AI-specific containment strategies.
- Execute hands-on tasks for identify and classify ai security incidents — covering Apply AI-specific containment strategies.
- Execute hands-on tasks for operational deliverables — covering Build repeatable IR workflows, Deploy customizable templates immediately.
- Execute hands-on tasks for build repeatable ir workflows — covering Deploy customizable templates immediately.
- Execute hands-on tasks for course structure — covering Beginner level with foundational concepts, Operations-focused approach.
- Execute hands-on tasks for security incident
- Execute hands-on tasks for data breach
- Execute hands-on tasks for ir playbooks
- Execute hands-on tasks for the solution — covering Traditional IR playbooks miss AI-specific vectors.
| Module 01 | Operations Playbook |
| Module 02 | Course Overview |
| Module 03 | What You Will Learn |
| Module 04 | Core Competencies |
| Module 05 | Identify and classify AI security incidents |
| Module 06 | Operational Deliverables |
| Module 07 | Build repeatable IR workflows |
| Module 08 | Course Structure |
| Module 09 | Security Incident |
| Module 10 | Data Breach |
| Module 11 | IR Playbooks |
| Module 12 | The Solution |
| Module 13 | No forensic standards for AI artifacts |
| Module 14 | AI System Architecture for IR |
All hands-on labs run on Rocheston Rose X OS. Students practice ai incident response operations playbook by implementing the controls discussed in class, with a focus on real-world deployment, monitoring, and validation.
- Lab 1: Execute hands-on tasks for operations playbook
- Lab 2: Explain Course Overview fundamentals
- Lab 3: Execute hands-on tasks for what you will learn
- Lab 4: Execute hands-on tasks for core competencies
- Lab 5: Execute hands-on tasks for identify and classify ai security incidents
Upon successful completion of this course, students will receive an official RCCE Course Completion Certificate for AI incident response Operations Playbook, 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