ai-security-bootcamp/aisb

This repository is an AI security bootcamp: learners work through practical labs covering model internals, agent control, inference defenses, training and adversarial methods, and infrastructure threats. The principal user-to-result workflow is completing a section’s exercises to build the corresponding security competency; the sections are curriculum stages, not modules in a single runtime pipeline. The README documents these capabilities and learner workflow. Sampled code illustrates individual labs, but does not establish calls between most sections, so the graph shows only documented learner-to-lab relationships.