What Is Model Registry?
Model Registry is a centralised system for tracking, versioning, and managing machine learning models throughout their lifecycle, from development through deployment to retirement.
Model Registry, a centralised system for tracking, versioning, and managing machine learning models throughout their lifecycle, from development through deployment to retirement.
A model registry is the operational answer to the question "what AI systems does our organisation actually have running?" Without one, organisations cannot produce an AI inventory — a foundational requirement of most AI governance frameworks (EU AI Act, ISO 42001, APRA expectations, AU AI6). A mature model registry records: model metadata, training data lineage, performance metrics, risk classification, approval history, deployment locations, and current status. It integrates with MLOps pipelines and feeds the compliance reporting layer.
Source: ISO/IEC 42001:2023, Clause 6; NIST AI RMF, GOVERN 2.2
Plain-language explanation
A model registry is the operational answer to the question "what AI systems does our organisation actually have running?" Without one, organisations cannot produce an AI inventory — a foundational requirement of most AI governance frameworks (EU AI Act, ISO 42001, APRA expectations, AU AI6). A mature model registry records: model metadata, training data lineage, performance metrics, risk classification, approval history, deployment locations, and current status. It integrates with MLOps pipelines and feeds the compliance reporting layer.
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