Episode 62 — Design Control Libraries for AI: Reusable Patterns Across Use Cases (Domain 2)
Efficiency in Domain 2 is achieved by moving away from bespoke control design for every project and toward a centralized library of reusable control patterns. This episode details how to build a control library that covers common AI risks like data leakage, model drift, and unauthorized access, allowing teams to "plug and play" verified mitigations. For the AAIR certification, you must understand the value of standardizing these controls to ensure consistency and ease of audit across the enterprise. We examine how to categorize controls by their function—preventive, detective, or corrective—and how to map them to specific AI lifecycle stages. Examples include standard API rate-limiting configurations for LLMs or pre-approved data anonymization scripts. By establishing a robust control library, organizations reduce the time-to-market for new AI initiatives without compromising on the rigor of their risk management posture. 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.
