Edge Model Registry

Definition

Edge Model Registry is versioned catalog that tracks which models, adapters, signatures, and policies are deployed to tactical nodes. In defense applications, it makes it possible to audit, rollback, and update distributed AI safely. The hard part is version drift and untracked emergency patches, especially when systems are deployed across contested links, coalition boundaries, and mixed human-machine teams. KhanBMS treats it as the inventory backbone for KhanBMS model governance, tying the concept back to modular command, edge execution, and auditable authority.

Reference attributes

Layer

MLOps control plane

Operational value

Makes it possible to audit, rollback, and update distributed AI safely

Primary risk

Version drift and untracked emergency patches

KhanBMS role

The inventory backbone for KhanBMS model governance

Related terms

• MLOps for Defense (MLOps-D)
  Lifecycle practices for building, testing, approving, deploying, monitoring, and updating military AI.
• Secure Model Provenance
  Cryptographic and procedural evidence tracking where a model, adapter, dataset, or artifact came from.
• Model Cards for Defense
  Documentation artifacts describing model purpose, training data, metrics, limits, and approved uses.
• On-Device Fine-Tuning
  Local adaptation of AI models on tactical devices using recent mission or environment data.