AI governance Playbook for Teams
RCCE students will learn the governance, oversight, and management of artificial intelligence systems within organizations, covering AI risk assessment, ethical AI frameworks, model accountability, bias detection and mitigation, and AI regulatory compliance. RCCE students will learn to establish AI governance committees, define acceptable AI use policies, implement model risk management processes, conduct AI impact assessments, monitor AI system behavior for drift and unintended outcomes, comply with emerging AI regulations, and respond to incidents where AI systems produce harmful or unexpected results. This team-oriented course builds collaborative workflows and organizational playbooks for security operations. Starting from foundational concepts, RCCE students will learn to create and implement standardized procedures that enable consistent performance across team members and shifts. Students develop the documentation, communication, and coordination skills needed for effective team-based security operations.
- 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 governance Playbook for Teams
- Execute hands-on tasks for ai governance playbook
- Explain Course Overview fundamentals
- Execute hands-on tasks for what you will learn
- Execute hands-on tasks for team playbook skills — covering 4h.
- Execute hands-on tasks for run ai impact assessments — covering 4h.
- Execute hands-on tasks for why it matters — covering AI failures can cause financial harm.
- Execute hands-on tasks for risk type
- Execute hands-on tasks for key insight — covering AI governance extends IT governance — not replaces.
- Execute hands-on tasks for nist ai rmf — covering — contextualize AI risks.
- Execute hands-on tasks for iso/iec 42001 — covering AI management system standard.
- Execute hands-on tasks for eu ai act risk tiers — covering Unacceptable — banned AI uses.
- Execute hands-on tasks for organizational risk matrix — covering Impact vs likelihood scoring.
| Module 01 | AI Governance Playbook |
| Module 02 | Course Overview |
| Module 03 | What You Will Learn |
| Module 04 | Team Playbook Skills |
| Module 05 | Run AI impact assessments |
| Module 06 | Why It Matters |
| Module 07 | Risk Type |
| Module 08 | Key Insight |
| Module 09 | NIST AI RMF |
| Module 10 | ISO/IEC 42001 |
| Module 11 | EU AI Act Risk Tiers |
| Module 12 | Organizational Risk Matrix |
| Module 13 | Technical Risk |
| Module 14 | Legal/Regulatory |
All hands-on labs run on Rocheston Rose X OS. Students practice ai governance playbook for teams by implementing the controls discussed in class, with a focus on real-world deployment, monitoring, and validation.
- Lab 1: Execute hands-on tasks for ai governance 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 team playbook skills
- Lab 5: Execute hands-on tasks for run ai impact assessments
Upon successful completion of this course, students will receive an official RCCE Course Completion Certificate for AI governance Playbook for Teams, 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