Workflow Security, Not Model Security, Is the Critical Risk

The cybersecurity conversation around Artificial Intelligence (AI) is dangerously myopic. While headlines obsess over adversarial attacks directly against models, like tricking a classifier with a subtly modified image, this “model security” frame misses the forest for the trees. The most critical and likely risks to AI systems lie not in sophisticated algorithmic bypasses, but in the foundational elements that feed and host them: the data and the infrastructure.