Analysis
Poisoning the Context: Securing RAG Pipelines Against Knowledge Injection Attacks
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Why it matters
RAG data poisoning lets an attacker who can write to a knowledge base turn a trusted AI assistant into a vector for fraud and misinformation without ever touching the model itself, a risk any enterprise deploying RAG must mitigate.
An educational write-up and accompanying lab walkthrough explain RAG (Retrieval-Augmented Generation) data poisoning, where an attacker edits an unauthenticated shared knowledge base (e.g. a company wiki, SharePoint doc, or vector database) so the LLM retrieves and repeats attacker-controlled false 'policies' such as instructing employees to wire money to a fraudulent account. The material demonstrates the attack against a deliberately vulnerable pipeline and discusses securing RAG pipelines against such knowledge-injection attacks.