Managerial AI in Cybersecurity

3 units

This course bridges the gap between strategic leadership and technical execution, preparing cybersecurity managers to govern the rapid transition from traditional Machine Learning to autonomous Agentic AI. Students will move beyond high-level theory to master the "business of AI," aligning AI initiatives with organizational objectives while managing the complex lifecycle of autonomous systems. The curriculum focuses on Security by Design, teaching managers how to architect governance using a Separation of Duties (SoD) framework. This approach divides responsibility between the "Agent Plane" (DevOps/Operations) and the "Guard Plane" (Cybersecurity), ensuring rigorous oversight of autonomous reasoning and actions. Students will evaluate unique AI threat landscapes—including prompt injection, jailbreaking, and hallucination—and implement Guard Model Architectures to mitigate these risks. Weaving technical validation with ethical responsibility, the course covers the NIST AI Risk Management Framework and the EU AI Act, preparing leaders to navigate the legal and compliance challenges of enterprise AI.