Episode 79 — Make Controls Practical: Prevent Checkbox AI Risk and Focus on Outcomes (Domain 2)
To be effective, AI controls must be practical and integrated into the existing developer workflow, rather than being treated as a separate "checkbox" compliance exercise. This episode discusses how to design controls that focus on risk outcomes—such as ensuring a model doesn't leak PII—rather than just following a rigid list of technical steps. For the AAIR certification, you must know how to evaluate whether a control is truly mitigating the intended risk or if it is merely creating administrative friction. We explore the use of automated "guardrail" libraries that developers can easily import into their code, making compliance the path of least resistance. Troubleshooting "checkbox" culture involves identifying when teams are providing superficial answers to risk assessments just to clear a gate. By making controls practical and outcome-focused, risk professionals can foster greater buy-in from technical teams and ensure that the organization's risk posture is grounded in technical reality, not just optimistic documentation. 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.
