Glossary

The architectural component that makes regulated enterprise AI workflows actually work — between operational systems and large language models.

An earlier name for the same category. The current locked category is AI enablement data layer for regulated operations. This page is retained as a synonym definition for readers arriving via earlier collateral.

The workflow exists. The data exists. The model exists. The integration is blocked because the data cannot leave.

How LLM Capsule reads the document, ticket, and operational sources that already live inside the customer environment — without moving raw data outside that environment.

A mathematical framework that bounds the contribution of any single record to a derived output.

Policy-based sensitivity classification that determines what data to protect based on document type, department, and workflow context during AI processing.

The data your business actually runs on. Not the same as PII. Not protected the same way.

An AI enablement pattern in which sensitive enterprise data is replaced with reversible, structure-preserving representations before AI processing — enabling LLM Capsule to automatically restore original enterprise data into AI outputs.

Restoring AI outputs to original enterprise context using locally stored mappings after AI processing. A core capability of LLM Capsule.

Using large language models for enterprise tasks without exposing original sensitive data to external AI services. Enabled by LLM Capsule.

Employees using ChatGPT (or any external LLM) on personal devices or unapproved channels — because the official tooling can't handle the data the work depends on.

AI workflows that keep data, processing, and audit inside a defined regulatory and geographic boundary.

The local-only store that turns AI output back into business-ready output.

Tokenize the identifiers. Preserve the structure. So the AI can still reason — and the result can still be restored.

Replacing sensitive elements while maintaining document layout, entity relationships, and semantic context for accurate AI processing — a core capability of LLM Capsule.

External approved LLM — or on-prem local lightweight model. Policy decides per workflow.

Zero exposure means original sensitive enterprise data never leaves the enterprise environment during AI processing. Only encapsulated representations cross the trust boundary to external AI services. A core principle of LLM Capsule.