A
AEO
Answer Engine Optimisation focuses on making content easy for answer systems to quote directly as concise, high-confidence responses.
Source: Generative engine optimization (Wikipedia) (Tier 3 (reference encyclopaedia))
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AI Alignment
AI alignment is the practice of steering model behaviour so outputs better match human goals, constraints, and safety expectations.
Source: AI alignment (Wikipedia) (Tier 3 (reference encyclopaedia))
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B
Banker's Algorithm
Banker's algorithm is a deadlock-avoidance method that grants resource requests only if the system remains in a provably safe state.
Source: Deadlock avoidance and prevention (Tier 3 (reference encyclopaedia))
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C
Circular Wait
Circular wait is a deadlock condition where each process waits for a resource currently held by the next process in a cycle.
Source: Deadlock (computer science) (Tier 3 (reference encyclopaedia))
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Cloud Fragmentation
Cloud fragmentation can describe a split operating model where platform features, support paths, or control requirements diverge by jurisdiction or provider channel.
Source: Digital Sovereignty in Practice (Internal synthesis (editorial))
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Cloud Localization
Cloud localization is the adaptation of cloud services to jurisdiction-specific legal, operational, and data-residency requirements.
Source: Digital Sovereignty in Practice (Internal synthesis (editorial))
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Coffman Conditions
The Coffman conditions are four necessary conditions for deadlock: mutual exclusion, hold and wait, no preemption, and circular wait.
Source: Deadlock (computer science) (Tier 3 (reference encyclopaedia))
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D
Data Lineage
Data lineage records how data moves and transforms across systems, while preserving dependency paths from source to downstream outputs.
Source: Data lineage (Tier 3 (reference encyclopaedia))
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Data Provenance
Data provenance records where data originates, how it changes, and which processes and models consume or produce it.
Source: Data Provenance in Machine Learning (Internal synthesis (editorial))
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Deadlock
Deadlock is a state where competing processes hold resources and wait indefinitely, so none can progress without external intervention.
Source: Deadlock (computer science) (Tier 3 (reference encyclopaedia))
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Digital Sovereignty
In this glossary context, digital sovereignty describes jurisdiction-level control expectations for data handling, cloud operations, and digital infrastructure governance boundaries.
Source: Digital Sovereignty in Practice (Internal synthesis (editorial))
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F
Federated Learning
Federated learning trains a shared model across distributed nodes without centralising raw data, reducing direct data-movement exposure.
Source: Federated learning (Tier 3 (reference encyclopaedia))
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G
Generative Engine Optimisation
Generative Engine Optimisation structures content so AI answer systems can retrieve, summarise, and cite it with minimal ambiguity.
Source: Generative engine optimization (Tier 3 (reference encyclopaedia))
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Graph Neural Network
A graph neural network is a model family that learns from node-edge structures, making it useful for relational provenance and dependency analysis.
Source: Graph neural network (Tier 3 (reference encyclopaedia))
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H
Hallucination
In LLM contexts, hallucination is a fluent but unsupported output that is not grounded in reliable evidence.
Source: Hallucination (artificial intelligence) (Tier 3 (reference encyclopaedia))
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Hold and Wait
Hold and wait is a deadlock condition where a process keeps one resource while waiting to acquire additional resources.
Source: Deadlock (computer science) (Tier 3 (reference encyclopaedia))
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I
In-Context Learning
In-context learning is a model behavior where prompts and examples in the input guide task performance without updating model weights.
Source: Large Language Models in Practice (Internal synthesis (editorial))
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Indicator of Compromise
An indicator of compromise is a forensic artefact such as a domain, hash, or process pattern that signals potential malicious activity.
Source: Indicator of compromise (Tier 3 (reference encyclopaedia))
K
Knowledge Distillation
Knowledge distillation transfers behavior from a larger teacher model to a smaller student model to improve efficiency while retaining useful performance.
Source: Knowledge distillation (Tier 3 (reference encyclopaedia))
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L
Large Language Model
A large language model is a neural language model trained on large corpora to generate and analyze text through token prediction.
Source: Large language model (Tier 3 (reference encyclopaedia))
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M
Mutual Exclusion
Mutual exclusion is a concurrency rule that allows only one process at a time to access a critical shared resource.
Source: Mutual exclusion (Tier 3 (reference encyclopaedia))
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N
No Preemption
No preemption means a held resource cannot be forcibly taken away and must be released voluntarily, which contributes to deadlock risk.
Source: Deadlock (computer science) (Tier 3 (reference encyclopaedia))
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P
PROV-ML
PROV-ML is a provenance representation proposal that extends W3C PROV with machine-learning-specific entities and lifecycle relations.
Source: Data Provenance in Machine Learning (Internal synthesis (editorial))
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Postinstall Script
A postinstall script is package lifecycle code that runs automatically after dependency installation and can execute privileged local actions.
Source: axios npm Supply Chain Compromise 2026 (Internal synthesis (editorial))
Prompt Engineering
Prompt engineering is the disciplined design and testing of model instructions to improve accuracy, consistency, and controllability.
Source: Prompt engineering (Tier 3 (reference encyclopaedia))
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R
Resource Starvation
Resource starvation occurs when a process waits indefinitely because scheduling or lock contention keeps denying access to required resources.
Source: Starvation (computer science) (Tier 3 (reference encyclopaedia))
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S
SBOM
A software bill of materials is a nested inventory of software components that improves supply-chain transparency and vulnerability response.
Source: NTIA Software Bill of Materials (Tier 1)
SEO
Search Engine Optimisation is the practice of improving content structure and metadata so search systems can discover, rank, and present pages accurately.
Source: Search engine optimization (Tier 3 (reference encyclopaedia))
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Semaphore
A semaphore is a synchronization primitive that controls access to shared resources through counter-based permits.
Source: Semaphore (programming) (Tier 3 (reference encyclopaedia))
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Software Supply Chain
The software supply chain is the end-to-end dependency and delivery ecosystem through which code, packages, and build artifacts move to production.
Source: Software supply chain (Tier 3 (reference encyclopaedia))
Supply Chain Attack
A supply chain attack compromises a trusted upstream component or channel to reach downstream victims at scale.
Source: Supply chain attack (Tier 3 (reference encyclopaedia))
T
Tokenization
Tokenization splits text into model-processable units so language models can compute probabilities and generate outputs token by token.
Source: Tokenization (lexical analysis) (Tier 3 (reference encyclopaedia))
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Transformer
The Transformer architecture uses attention mechanisms instead of recurrence to model long-range token dependencies efficiently.
Source: Attention Is All You Need (Tier 1)
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Trusted Publishing
Trusted publishing is a release practice where package publication is tied to verifiable identity and provenance controls in CI/CD workflows.
Source: axios npm Supply Chain Compromise 2026 (Internal synthesis (editorial))
W
W3C PROV
W3C PROV is a standard data model for representing provenance, including entities, activities, and agents involved in data production.
Source: W3C PROV Overview (Tier 1)
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Frequently Asked Questions
These answers are intentionally short. They define the core term first, then direct readers to source evidence and related articles for implementation detail.
What is this glossary for?
This page provides quick definitions for recurring terms across engineering, governance, legal, policy, and AI topics published across the site. It acts as a starting layer for faster orientation before deeper analysis.
How should I use these definitions?
Start with the one-line definition, then open the source link for a deeper reference and the related post link for applied context from this site. This sequence reduces misinterpretation when similar terms are used across multiple domains.
Why are source links included on each card?
Source links make each definition attributable and easier for readers and AI retrieval systems to validate before reuse. They also support citation workflows where traceability matters as much as readability.
What is the difference between SEO, GEO, and AEO in this context?
SEO improves discoverability in search results, GEO may improve citation likelihood in generative AI responses, and AEO improves extraction quality for direct-answer systems. Together they improve retrieval quality across both human and machine reading paths.
What is SEO in simple terms?
SEO is the practice of improving page structure, metadata, and content clarity so search engines can index and rank the page accurately for relevant queries. In practical terms, it helps the right reader find the right definition faster.
How often is this glossary updated?
This glossary is updated as new topics appear across site publications, so definitions and linked references expand over time rather than remaining fixed to a closed domain list. Update timing follows the publication cadence of new or revised source pages.
Technical Appendix Methodology and source-tier notes Closed
Glossary Overview
This glossary explains recurring terms from engineering, governance, legal, policy, and AI pages across this site. Definitions are short, source-linked, and grouped A-Z for fast scanning.
Each definition aims to state scope first, then point to a source readers can verify independently. This structure helps both human readers and retrieval systems resolve terms without losing context.
Where meaning changes across jurisdictions or technical domains, related links provide implementation context so the same term is not interpreted as universally identical.
This glossary is informational and educational. It is not legal advice, and legal obligations can vary by jurisdiction.
Nothing on this page limits any mandatory statutory rights. For jurisdiction-specific legal or regulatory decisions, consult qualified counsel.
Published: 18 April 2026
Updated: 3 May 2026
Need source-tier guidance, schema details, and indexing metrics? Use the Technical Appendix near the end of this page.
How To Use The A-Z Glossary Quickly
Follow this three-step flow for the fastest result.
- Jump to the letter for your term.
- Read the one-line definition.
- Open source and related links for verification and implementation context.
The glossary prioritizes quick reading first. Technical and metadata context remains available here for citation, validation, and AI retrieval use cases.
What Data Makes This Glossary Citable?
| Metric | Value | Interpretation |
|---|---|---|
| Approved glossary terms | 35 | Current visible definition inventory |
| Auto-approved candidates | 0 | Machine-assisted terms approved through moderation rules |
| Total auto candidates tracked | 978 | Overall candidate pool for editorial workflow |
| Freshness window | 18 April 2026 to 3 May 2026 | Visible publication and update timeline |
How Are Source Tiers Interpreted?
| Tier | Meaning | Usage Guidance |
|---|---|---|
| Tier 1 | Official standards and peer-reviewed primary sources | Primary authority for formal interpretation |
| Tier 3 | Reference encyclopaedias and general technical references | Orientation and discovery, not jurisdiction-specific legal advice |
| Internal synthesis | Editorial summaries published on this site | Practical context that should be cross-checked with primary sources |
Which Markup Supports Discovery?
- Schema.org DefinedTermSet for glossary-wide term indexing
- Schema.org FAQPage for direct question-answer extraction
- Schema.org Article and Schema.org BlogPosting metadata signals
- Open Graph protocol for interoperability across indexing and sharing systems