Episode 34 — Build Evidence for Audits: Artifacts That Prove Control, Not Intentions (Domain 2)
Auditors require tangible proof of control effectiveness, making the creation of a robust evidence trail a core competency in Domain 2. This episode focuses on the transition from "intention-based" risk management to "evidence-based" compliance, where every control is backed by a verifiable artifact. For the AAIR certification, you must understand what constitutes valid evidence for an AI system, such as cryptographically signed model weights, automated testing logs, and signed risk acceptance forms from senior management. We discuss the importance of maintaining an immutable audit log that captures every significant change to an AI system’s configuration or data inputs. Troubleshooting in this area often involves resolving gaps where manual processes failed to generate the necessary documentation, highlighting the need for automated evidence collection. By establishing clear expectations for what artifacts must exist and how they should be archived, organizations can navigate internal and external audits with confidence, providing the transparency required by regulators and stakeholders alike. 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.
