AI Data Fabric

Definition

AI Data Fabric is integrated data layer that connects operational, sensor, model, metadata, and governance sources for AI workflows. In defense applications, it prevents AI from depending on brittle point-to-point data pipelines. The hard part is schema drift, access-control gaps, and stale replicas, especially when systems are deployed across contested links, coalition boundaries, and mixed human-machine teams. KhanBMS treats it as the data substrate that lets KhanBMS agents reason over distributed state, tying the concept back to modular command, edge execution, and auditable authority.

Reference attributes

Layer

data infrastructure layer

Operational value

Prevents AI from depending on brittle point-to-point data pipelines

Primary risk

Schema drift, access-control gaps, and stale replicas

KhanBMS role

The data substrate that lets KhanBMS agents reason over distributed state

Related terms

• Tactical Data Fabric
  Distributed data plane providing discovery, transport, and policy across the kill web.
• Mission Data Lakehouse
  Unified storage architecture for raw, structured, and analytic mission data used by AI and operators.
• Vector Database
  Database optimized for storing embeddings and retrieving semantically similar text, images, or events.
• Knowledge Graph Reasoning (KGR)
  Reasoning over entities, relationships, provenance, and constraints represented as a graph.