> ## Documentation Index
> Fetch the complete documentation index at: https://wiki.platelunchcollective.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Context Poisoning

> Context poisoning is a form of adversarial attack on AI systems in which malicious content is injected into the retrieval context — through prompt injection ...

*Core concept* · *Emerging*

## Definition

Context poisoning is a form of adversarial attack on AI systems in which malicious content is injected into the retrieval context — through prompt injection in retrieved documents, manipulated knowledge base entries, or contaminated external sources — to cause the AI system to generate false, misleading, or harmful outputs.

## Why It Matters for AI Search

Context poisoning is primarily a security concern rather than an optimization concern, but it has practical implications for brands. A brand's Wikidata entry, Wikipedia article, or key third-party descriptions are potential vectors for context poisoning if they can be edited by malicious actors. Monitoring these sources for unauthorized or inaccurate edits — and ensuring that the brand's authoritative sources are well-maintained — reduces the risk of poisoned context corrupting AI representations of the brand.

## Related Terms

<CardGroup cols={2}>
  <Card title="Knowledge graph poisoning" href="/ai-search-glossary/knowledge-graph-poisoning" />

  <Card title="Entity injection" href="/ai-search-glossary/entity-injection" />

  <Card title="Brand grounding" href="/ai-search-glossary/brand-grounding" />

  <Card title="Hallucination mitigation" href="/ai-search-glossary/hallucination-mitigation" />

  <Card title="Synthetic brand signal" href="/ai-search-glossary/synthetic-brand-signal" />
</CardGroup>

## Relevant Plate Lunch Collective Services

[Entity SEO](https://www.platelunchcollective.com/services/entity-seo)  [Context Map](https://www.platelunchcollective.com/services/context-map)