AI needs no introduction as one of the most overhyped technical fields in the last decade. The subsequent hysteria around building AI-based systems has also made them a tasty target for folks looking to cause major mischief. However, most of the popular proposed attacks specifically targeting AI systems focus on the algorithm rather than the system in which the algorithm is deployed. We'll begin by talking about why this threat model doesn't hold up in realistic scenarios, using facial detection and self-driving cars as primary examples. We will also learn how to more effectively red-team AI systems by considering the data processing pipeline as the primary target.