The COMPEL Glossary Graph visualizes relationships between framework terminology, showing how concepts interconnect across domains, stages, and pillars. Term nodes cluster by pillar affiliation while cross-references reveal semantic dependencies — for example, how risk appetite connects to control effectiveness, model governance, and assurance requirements. This network representation helps practitioners navigate the framework vocabulary and understand that COMPEL terminology forms a coherent conceptual system rather than isolated definitions.
COMPEL Glossary / training-data-memorization
Training data memorization
Verbatim or near-verbatim reproduction of training data by a model during inference.
What this means in practice
Most severe when training data contains personal data, trade secrets, or copyrighted material; forms the core of OWASP LLM02 sensitive-information-disclosure exposures.
Synonyms
training data extraction , data regurgitation , LLM02 memorization
See also
- LLM risk surface — The union of six interacting layers — input, model, output, retrieval, tool, and data — where governance controls must be applied on any LLM-based feature.
- Confabulation — NIST's preferred term for hallucination: an LLM generating fluent output that is unsupported by ground truth.
- System prompt leakage — Extraction of an LLM feature's hidden system prompt and structural instructions through crafted user input.