Proof Pudding performs proofpoint model extraction attacks that target machine learning systems to extract or replicate proprietary models. It is part of Dreadnode's suite of research tools focused on identifying vulnerabilities in AI and ML systems, particularly through adversarial techniques that test the resilience of security checkpoints and models against exploitation.