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[>_] ROOM · Cybersecurity
Extracting Data from RAG-Connected Knowledge Bases
Master the techniques for extracting sensitive data from Retrieval-Augmented Generation (RAG) pipelines, including indirect injection and metadata manipulation.
Room tasks
1Why RAG Systems Introduce New Disclosure Risk
2Probing a RAG System for Out-of-Scope Data
3Guided Lab: Extracting Restricted Data from a RAG-Connected Bot
Frequently Asked Questions
How can attackers extract data from a RAG system?
They craft queries or injected instructions so the retriever returns sensitive chunks, then coax the model to repeat or exfiltrate them. Weak access control on documents makes this easier.
What is retriever RBAC?
Retriever role-based access control filters search results by the user's permissions before the content reaches the model. It ensures a user can only retrieve documents they are authorized to see.
Does this room teach defenses too?
Yes. Besides the extraction techniques themselves, it covers defensive controls such as access filtering, output checks and monitoring. It is a free intermediate room on Codelivly.