data privacy compliance

Practical Bash-first guide to assessing AI workloads on Linux: inventory models, datasets, code, containers and GPUs; generate SBOMs with Syft and scan vulns with Grype; lint Python with Bandit and hunt secrets with Gitleaks; harden Podman runtimes (read-only, no-new-privileges, controlled egress) and monitor with auditd and checksums; keep a JSON risk register; automate in CI/cron for repeatable, regulatory-ready assurance.