Episode 22 — Design the AI Risk Operating Model: People, Process, Tools, and Cadence (Domain 2)
The AI Risk Operating Model represents the functional mechanics of how risk is identified and managed on a day-to-day basis, a critical area of focus for Domain 2. This episode breaks down the four essential components of the model: the people who execute the work, the processes they follow, the tools they use for automation, and the operational cadence that determines the frequency of reviews and reporting. For the AAIR certification, it is vital to recognize how a centralized versus a decentralized operating model affects risk visibility and response times. We discuss the selection of GRC (Governance, Risk, and Compliance) tools to track model performance and the importance of establishing a regular meeting cadence between the second line of defense and AI product owners. Troubleshooting a failing operating model often involves identifying bottlenecks in the approval process or clarifying ambiguous reporting lines that lead to delayed risk escalations. By designing a scalable and repeatable operating model, organizations can ensure that AI risk management becomes a seamless part of the development lifecycle rather than an after-the-fact hurdle. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your educational path. Also, if you want to stay up to date with the latest news, visit DailyCyber.News for a newsletter you can use, and a daily podcast you can commute with.
