Glossary

The vocabulary of regulated AI.

Plain-language definitions of the terms that come up in every legal, biotech, and defense AI conversation — written for the buyer who has to defend the decision, not just sign the PO.

16 terms

AI Firewall

An AI Firewall is a software layer that detects and redacts sensitive data — PII, PHI, trade secrets, or custom entity types — from a prompt before it leaves your network boundary and reaches any AI model.

Frontier Model

A frontier model is a large language model at the current capability ceiling — typically the flagship release from a major lab such as OpenAI, Anthropic, Google DeepMind, Meta, Mistral, or xAI.

ITAR-Compliant AI

An ITAR-compliant AI deployment processes International Traffic in Arms Regulations data on infrastructure that is owned, operated, and physically located inside the United States and accessed only by US persons.

Model Disagreement

Model disagreement is when two or more frontier AI models give materially different answers to the same prompt. It is the strongest available signal that a claim is contested, uncertain, or context-dependent.

Multi-Model AI

Multi-model AI is the practice of running the same prompt across two or more frontier models from different providers — and comparing the answers — rather than committing to one vendor's model.

Prompt-Level Audit Log

A prompt-level audit log records every prompt sent to an AI model, the user who sent it, the model that received it, the response returned, and any AI Firewall actions applied — at the granularity of a single request.

Shadow AI

Shadow AI is the unauthorized use of consumer AI tools — typically ChatGPT, Claude, or Gemini on personal accounts — by employees handling work that includes sensitive company or customer data.

Sovereign Compute

Sovereign compute is AI infrastructure where the hardware, network, and operational staff all sit inside a single jurisdiction's legal control — typically dedicated bare-metal servers in a domestically owned and operated data center.

SSO and SCIM for AI

SSO (single sign-on) and SCIM (System for Cross-domain Identity Management) are the identity-provider integrations that let an enterprise manage AI workspace access through its existing IdP — Okta, Azure AD, Google Workspace, OneLogin.

The Tokyo Test

The Tokyo Test is a demonstration that frontier AI models routinely disagree on questions of fact. The same prompt is run across multiple models simultaneously, and the user sees that the answers diverge.

See these concepts in the actual product.