📄️ Introduction to AI Security
AI Security is the practice of assessing the security posture of machine learning systems, large language models (LLMs), and the applications and infrastructure built around them. As AI features move from research demos into production products, the attack surface has shifted. The model itself is only one component, and most real failures live in the seams between the model, the data it retrieves, the tools it can call, and the humans who trust its output.
📄️ Introduction to Machine Learning
AI, machine learning, and deep learning are often used interchangeably, but they describe different scopes. Deep learning is a subfield of ML and ML is a subfield of AI.