Episode 43 — Assess Production AI After Release with Audits, Red Teaming, Threat Modeling, and Security Testing
This episode explains how organizations should examine AI systems in production using methods that go beyond routine monitoring and basic performance checks. You will learn how audits provide structured reviews of whether controls and documentation remain aligned with policy and legal obligations, how red teaming can expose misuse paths and unsafe behavior, how threat modeling helps teams think through attacker goals and weak points, and how security testing validates whether the system can withstand realistic abuse. For the AIGP exam, this topic matters because post-release assurance is a core part of governance, especially when systems operate in higher-risk settings or handle sensitive data. The episode also highlights real-world issues such as prompt manipulation, unauthorized model access, data leakage, insecure integrations, and hidden process failures. Good governance requires organizations to test production reality, not just development assumptions, and to use those findings to improve controls, documentation, and operational resilience. 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. And dont forget Cyberauthor.me for the companion study guide and flash cards!
