MLOps

MLOps applies DevOps discipline to machine learning: version the data and models, automate training and deployment pipelines, monitor for drift, and make rollbacks possible. Without it, models are artisanal artifacts nobody can reproduce. With it, security gets what it needs too: provenance for every model in production, and a pipeline where controls like scanning and approval gates can actually live.