Glossary
AI terms, defined plainly
The vocabulary behind private, compliant AI, explained without the jargon. Each entry is a short, plain definition with the context regulated teams need.
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Private AI deployment
Running AI inside infrastructure you control, so sensitive data never leaves your perimeter and no third party trains on it.
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Sovereign AI
AI infrastructure, models, and data kept fully under the control and jurisdiction of one organization or nation.
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Context engineering
Supplying an AI system with the right proprietary information at the right moment, so its answers come from your context, not generic training data.
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Retrieval-augmented generation (RAG)
A technique where an AI model retrieves relevant documents at query time and uses them to ground its answer in your own data.
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AI readiness
How prepared your data, infrastructure, workflows, and governance are to deploy AI safely and get measurable value from it.