Episode 92 — Plan an AI audit: scope, criteria, stakeholders, and timing choices (Domain 3A)
This episode explains how to plan an AI audit in a way that produces a workable scope, clear criteria, the right stakeholders, and timing that fits the AI lifecycle. You’ll learn how to define scope by anchoring on the business decision the AI influences, the impacted systems and data flows, and the most meaningful risks, rather than scoping only to “the model.” We’ll cover criteria selection at a planning level, including how policies, regulations, standards, and internal risk appetite become audit criteria that can be tested with evidence. Stakeholder planning will focus on practical ownership: who owns the decision, who owns the model and data, who operates monitoring, and who has authority to accept risk or halt automation. Timing choices will include when to audit pre-deployment versus post-deployment, how to account for ongoing updates, and how to plan around retraining cycles and release windows so results are relevant. 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.
