Glossary.
Every term this publication uses in a specific analytical sense. First-party entries are coined here (8 terms). Cited externals are industry, academic, or regulatory terms with primary-source links (9 terms).
A
- Agentic AIIndustryaka agentic, AI agents, agent mode
Software systems built on large language models that plan multi-step tasks, call external tools, and act on a goal without per-step human prompts. Distinguished from a single-shot AI assistant by aut…
- AI agentIndustryaka agent, autonomous agent
An LLM-driven program that plans, decides, and executes tool calls toward a stated goal. Differs from an AI assistant (single-turn helper) by carrying state across steps and acting on the world via t…
C
E
G
H
- Holding claimFirst-partyaka tracked claim, AM claim, OPS claim
A single declarative sentence the publication has asserted, registered with an immutable ID (AM-NNN or OPS-NNN), a publish date, a current verdict, a next-review date, and an appended-only correction…
- Holding-upFirst-partyaka Holding-up system, Holding-up protocol
The publication's discipline of tracking every primary claim it asserts on a 30–90 day review rhythm. Each claim is marked Holding, Partial, or Not holding. Status changes; claim text never changes.
I
M
- Model Context ProtocolIndustryaka MCP, MCP server, MCP client
An open protocol Anthropic published in late 2024 that standardises how LLM applications connect to data sources and tools. MCP servers expose resources and tools; MCP clients (such as agent runtimes…
- MTTD-for-AgentsFirst-partyaka Mean Time To Detect (MTTD) for Agents, Mean Time To Detect for Agents, MTTD-A
A leading indicator for enterprise agent-mode safety, adapted from SRE MTTD to cover cross-agent delegation and emergent behaviour. Targets: < 4h for high-risk agents at large enterprises, < 24h at m…
N
- NIST AI RMFIndustryaka NIST AI Risk Management Framework, AI RMF 1.0
The U.S. National Institute of Standards and Technology's voluntary AI risk-management framework, published January 2023. Organises AI risk under four functions: Govern, Map, Measure, Manage.
- Non-Human IdentityIndustryaka NHI, machine identity, agent identity
Any identity in an enterprise system that is not a human user — service accounts, API keys, OAuth tokens, machine certificates, and now agent-bound credentials. Outnumber human identities at typical…