This certifies that

Norris Cornell

has successfully completed

Introduction to AI Security

Introduction to AI Security covers the security risks that AI and LLM systems introduce across their full lifecycle, from the data that trains them to the tools they can reach in production. Badge earners can map an AI system's attack surface across three layers: what goes in, what makes decisions, and what the system can touch. They can identify the major categories of AI-specific attack, including data poisoning, adversarial inputs, prompt injection, model extraction, and privacy leakage. They can apply practical controls at each layer and explain why governance is what keeps those controls in place over time. This course is taught by Hemanth Tadepalli.