Model registry entries, experiment metadata, and reproducibility records may be modified by entities with write access to the environment. Altered artifacts or records could be promoted to training and deployment workflows in place of the intended versions. This compromises the integrity of deployed models and the reliability of experiment lineage used for reproduction and audit.
Model Artifacts or Experiment Records are Tampered With
CCC.MLDE.TH03
Related Capabilities
| ID | Title | Description |
|---|---|---|
| CCC.MLDE.CP03 | Integrated Experiment Management | Facilitates tracking and management of machine learning experiments, including parameters, metrics, and artifacts, within the development environment. |
| CCC.MLDE.CP08 | Model Registry | Provides centralized storage and versioning for trained models, including metadata about training runs, model artifacts, and deployment history. |
| CCC.MLDE.CP11 | Reproducibility Capabilities | Provides capability to capture and version all components needed to reproduce an ML experiment, including code, data, and environment configurations. |