MLOps Lifecycle Management & Artifact Provenance

Introduction

Governance, compliance, and security are paramount when deploying AI platforms. Provenance ensures that every model deployed can be traced back to its exact training data and configuration.

Lifecycle Management Tools

MLflow
Kubeflow
Weights & Biases

Artifact Provenance

Signing model weights using tools like Sigstore/Cosign to prevent tampering.

Automated Model Weight Ingestion & Storage Pipelines Real-world MLOps and Vector Database Implementation