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AI Meets Bash shows how to secure Linux AI workloads with pragmatic, Bash-first guardrails: scan and sanitize datasets (ClamAV, jq), block secret leaks and audit access, vet Python deps (pip-audit, bandit), run minimal rootless containers (Podman), harden inference with systemd and firewalld, and add ML-driven SSH anomaly alerts, with apt/dnf/zypper install steps, copy-paste commands, and actionable next steps.