Assess
Why?
- AI infrastructure handles sensitive datasets and models; access control, data governance, and supply-chain security are essential.
- Model-level governance (explainability, audit trails, provenance) mitigates compliance and risk.
What?
- Define access controls, secrets management, and encrypted storage for datasets and models.
- Implement model provenance, lineage tracking, and audit logging within MLOps pipelines.
- Integrate security checks into CI/CD and deployment gates for AI workloads.