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Keep SELinux Enforcing without breaking your AI stack: this practical guide shows why SELinux protects high‑value models/data, how to install the right tools, run AI services in containers with proper :Z/:z labels and MCS, map ports and enable precise booleans on hosts, pass GPUs safely, and use audit logs plus audit2allow to craft minimal local policies—so training, inference, and debugging stay secure and predictable.