This episode focuses on people and process as integral elements of AI security, highlighting how organizational culture and defined responsibilities reinforce technical defenses. For certification purposes, learners must understand that even the best security tools fail without proper governance structures, training programs, and accountability models. The exam relevance lies in recognizing frameworks such as RACI (responsible, accountable, consulted, informed), the role of security champions, and the need for workforce awareness at all levels.

In practice, this involves training developers to recognize adversarial risks, embedding compliance staff into AI project reviews, and ensuring that executives understand their governance responsibilities. Best practices include establishing cross-functional AI security committees, embedding security requirements into workflows, and using training paths tailored to technical, legal, and operational staff. Troubleshooting considerations highlight resistance to cultural change, insufficient executive sponsorship, or fatigue from repetitive awareness campaigns. Learners preparing for exams must demonstrate understanding of how people and process complement technical safeguards to create a resilient AI security posture. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your certification path.