Context bleed
Also: context bleeding, context carryover
The unwanted transfer of facts, instructions, tone, memories, permissions or assumptions from one context into another where they no longer apply or should not be available.
AI context glossary
Clear UK English definitions for context, memory, retrieval and AI security — connected by meaning rather than alphabet alone.
22 matching terms
Also: context bleeding, context carryover
The unwanted transfer of facts, instructions, tone, memories, permissions or assumptions from one context into another where they no longer apply or should not be available.
Also: context pollution
The presence of material that distorts later reasoning or generation. Contamination may be accidental, operational or adversarial and does not necessarily involve disclosure.
The discipline of deciding which instructions, messages, memories, documents, tools and state should be available to a model at each step of a workflow.
Also: cross-context information leak
A confidentiality or isolation failure in which contextual information is disclosed to another user, tenant, agent, project or workflow without the required authorisation.
Also: context compaction
A context-engineering technique that drops, compresses or archives stale, duplicated, irrelevant or low-confidence information to protect focus and reduce cost.
Also: long-context degradation
A practitioner term for non-uniform loss of accuracy or coherence as inputs become longer, noisier or more internally competitive, even when the context remains within the advertised window.
Also: input window
The bounded sequence of tokens supplied to a model when it generates a response, including instructions, messages, retrieved material and tool results.
Also: contextual distraction, contextual interference
A measurable sensitivity in which distractor passages, examples or facts change a model's reasoning path or answer despite not being needed for the task.
Also: middle-position bias
A positional-bias phenomenon in which language models retrieve or use information less reliably when it appears in the middle rather than near the beginning or end of a long context.
Also: memory segregation
Architectural controls that partition persistent state by user, tenant, project, agent or purpose and prevent unintended cross-boundary retrieval or mutation.
Also: persistent-memory poisoning
An attack or integrity failure in which false, malicious or misleading content is written into agent memory and later retrieved as trusted context.
The process that ranks and injects stored memories into a current context, often using recency, semantic similarity, importance or explicit policy.
Also: long-term agent memory
A product or agent capability that stores facts, preferences, summaries or events outside the immediate context window and can retrieve them in future sessions.
Also: direct prompt injection, indirect prompt injection
An attack in which instructions supplied directly or embedded in external material attempt to manipulate model behaviour, data access or tool use.
Also: data lineage
Metadata that identifies a context item's source, owner, permissions, timestamp and transformation history so systems and reviewers can assess its authority and suitability.
Also: retrieval poisoning
An integrity attack in which misleading content or adversarial instructions are placed in a retrievable corpus so they influence later model outputs at query time.
Also: cross-tenant retrieval
A failure to enforce permissions before retrieval, allowing protected chunks, embeddings or records to enter model context and potentially be disclosed.
Also: RAG
A system pattern in which a search or retrieval component supplies selected knowledge to a generative model so its response can be grounded in information outside model parameters.
Also: data disclosure
The exposure of personal, proprietary, regulated or security-relevant information beyond its intended audience, whether through generation, retrieval, logs or tool calls.
Also: multi-tenant isolation
Technical separation of data, memory, caches, indexes, credentials and execution state belonging to different organisations or customers sharing a service.
An architectural boundary at which identity, authorisation, provenance and data handling must be re-evaluated rather than implicitly inherited.
Also: vector database
Storage and indexing infrastructure used to retrieve semantically similar items. In multi-tenant AI systems it must preserve access-control metadata at chunk level.