AI Security Policy and Governance Foundations

As artificial intelligence transforms industries, securing these systems is no longer just a technical challenge—it is a critical policy and governance priority. This text-only course prepares you to understand and implement AI security policies, navigate historical regulatory contexts, and manage organizational risks effectively. What you'll learn: - Understand the historical context of technology regulations and how they shape modern AI policy. - Analyze core principles of secure AI deployment, including confidentiality, integrity, and availability in machine learning. - Evaluate ethical considerations, bias mitigation, and transparency in AI procurement and implementation. - Explore modern AI risk frameworks such as the NIST AI Risk Management Framework and emerging global regulations. - Identify common AI security threats, including data poisoning and prompt injection, through a policy-oriented threat modeling lens. - Establish trust and compliance standards across procurement, governance, and organizational workflows. You will start with foundational definitions and key policy concepts before exploring real-world governance frameworks and ethical decision-making scenarios. Designed for beginners, policy makers, risk managers, and technology professionals, this course requires no prior programming or security experience. Start building your foundation in AI security policy and governance today.