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Glossary

Defined terms used across the AIGS standards and the Framework. Where a term is defined in a standard, that definition governs.

Agent (AI agent)
An AI system that can take actions, such as calling tools, reading data or sending messages, with some degree of autonomy.
Agent chain
Two or more agents connected so that the output of one becomes the input of another.
AI system
Any model, copilot, agent, automated flow or service that uses artificial intelligence to produce outputs or take actions for the organization.
AI system inventory
The organization's register of AI systems, with owner, purpose, data classes and status. Required by AIGS 100.
Attribution basis
What a unit of AI consumption is attributed to: the AI system, the owner only, or nothing (AIGS 200).
Basis for conclusions
The section of a standard that explains the Board's reasoning, including alternatives it considered and rejected.
Capability profile
A record of what an agent can take in, read, write and send, the tools it can call, and how autonomously it acts (AIGS 500).
Classification coverage
The share of AI-reachable data sources that have a sensitivity classification (AIGS 400).
Collection freshness
How recently consumption or usage data was successfully collected, as distinct from when usage last occurred.
Comment letter
A written response to an exposure draft, submitted during the comment period and considered in redeliberation.
Complete exposure path
An agent or agent chain holding all four exposure legs.
Consumption event
A recorded unit of AI usage, such as tokens or credits, reported by a provider or platform.
Coverage statement
A statement, attached to any report, of which surfaces or sources were measured and which were not.
Evidence strength
How strongly a claim is known to be true: Declared, Configured, Observed or Verified (AIGS 600).
Exposure draft
A proposed standard published for public comment. It has no authority until issued by the Board.
Exposure leg
One of four capabilities that together make an agent exploitable: untrusted input, private data read, shared write, external send.
False green
A control or report shown as healthy when it is only configured, or when data collection failed. AIGS 600 prohibits it.
Human approval
A required human decision before an agent completes an action with material impact (AIGS 500.7).
Leaver reassignment
Transferring ownership of AI systems held by a departing person to a new owner of record (AIGS 100).
Maturity level
One of five stages in the Framework: Initial, Inventoried, Owned, Measured, Assured. Owned is the baseline.
Non-human identity
A service principal, API key, token or other credential used by software, including agents, rather than a person.
Not measured
The required label for a measure or surface where no data was collected. It must never be shown as zero or clean.
Owner of record
The named, current individual accountable for an AI system (AIGS 100).
Owner unknown
The required state for an AI system whose owner cannot be identified or has left. It is a finding, not a default.
Permitted-use register
A record of which data classes each AI system may access and for what purpose (AIGS 400).
Prompt injection
Instructions hidden in content an AI system reads, intended to make it act against its operator.
Redeliberation
The Board's public reconsideration of a draft in light of comment letters.
Sanctioned AI
An AI service, model or tool approved by the organization for stated purposes and data classes (AIGS 300).
Technical Working Group (TWG)
A volunteer group of members that drafts and maintains one standard.
Tool server
A service that exposes tools for agents to call, such as a Model Context Protocol (MCP) server (AIGS 500.6).
Triage order
A ranking used to decide what to review first. It is not a probability of wrongdoing (AIGS 300.6).
Unaccountable spend
AI consumption that cannot be linked to an AI system with an owner of record (AIGS 200).
Unmeasured action
A tool action that has not been classified. It must never be assumed to be read-only (AIGS 500.3).