Databricks
The Databricks Data Intelligence Platform brings AI to your data to help you bring AI to the world.
Description
Credo AI’s integration with Databricks MLflow connects model development workflows directly to enterprise AI governance. As models and versions are logged in MLflow, Credo AI automatically ingests model metadata and lineage, enabling governance teams to associate models with AI Use Cases, apply risk- and policy-aligned controls, and maintain audit-ready oversight—without disrupting how data science teams work. By integrating at the MLflow layer, Credo AI ensures governance happens where models are built and iterated, not after the fact. This allows organizations to scale AI responsibly by maintaining a continuously updated system of record for models, evaluations, and compliance evidence across the AI lifecycle.
Features
Integration Type: Evidence Ingestion
Upload critical evidence that your AI is safe, secure, fair, and compliant. Reduce engineering burden by identifying only the required evidence for AI governance and compliance.
Model Data
For every MLflow model reflected in Credo AI, populate model version, owner and last registration data from MLflow. Use this information to govern model version differently if need be.
Integration Type: Model Upload
Eliminate AI governance burden on engineering teams by connecting directly to your model store in Credo AI.
Model Cards
Automatically populate a Model Card in the Credo AI registry with Limitation, Description, Model Performance, Model Architecture data and more from MLflow. Use this information to properly govern associated AI Use Cases.
Integration Diagrams
Data
Model Store
Model Store
Data
Model
Model