Glossary for regulated enterprise AI
Definitions for the core concepts, protection techniques, workflow patterns, and governance terms behind the AI enablement data layer.
AI enablement data layer
The architectural component that turns regulated operational data into AI-ready capsules locally, executes AI workflows on the protected capsule, and restores outputs back into the originating system.
Read →AI-ready operational layer
Earlier name for the same category. The current canonical term is 'AI enablement data layer for regulated operations'. Retained as a synonym definition for readers arriving via earlier collateral.
Read →Operational data
Structured enterprise data — NOC logs, network configs, OT manifests, clinical workflows, claim records, mission context — that PII guardrails can't see but regulated AI workflows depend on.
Read →Structure-preserving encapsulation
Tables, cross-references, configurations, and document hierarchies survive the process intact. AI receives full operational structure — not broken fragments.
Read →Differential privacy
Mathematically defined noise injection that addresses inference and aggregate-pattern risk simple filtering can't close. The 2006 Dwork-Roth standard for privacy-preserving computation.
Read →State vault for restoration
Local token map that restores AI outputs back to original values inside the trust boundary. The mechanism that delivers business-ready output without external re-identification risk.
Read →Blocked AI workflow
Business process that would benefit from AI but cannot be deployed because the operational data involved cannot be sent to an LLM under regulatory or commercial constraints.
Read →Two execution paths
Path A (external approved LLM with capsule data only) and Path B (on-prem local lightweight model). Policy-driven per workflow, under a single governance framework.
Read →Connector lane
The in-environment reading surface. Capsule reads from existing systems inside the customer's network — REST, gRPC, JDBC, Graph API — without raw data crossing the trust boundary.
Read →Sovereign AI
AI workflows that satisfy national data residency, EU AI Act compliance, and sector-specific sovereignty requirements — typically via on-prem or region-locked execution.
Read →Shadow AI
Unsanctioned AI usage that emerges when official tooling cannot serve the workflows employees need. The result of blocked workflows + productivity pressure.
Read →Have a deployment question?
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