Why output-stage PII masking is the wrong protective surface for data exfiltration in RAG
The article discusses the inadequacies of relying solely on output-stage PII masking for data protection in Retrieval-Augmented Generation (RAG) systems. It argues that by the time the output filter is applied, the confidential data has already been exposed to the model, leading to potential data leaks. The author advocates for implementing access control at the retrieval stage instead, ensuring sensitive information is never seen by the model in the first place.
- ▪Output-stage PII masking fails to prevent data leaks because the model has already accessed confidential information.
- ▪Three types of leaks can occur: creative paraphrasing, inference, and cross-turn persistence.
- ▪The author suggests that access control should be implemented at the retrieval stage to prevent sensitive data from being processed by the model.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3926644) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Hashevolution Posted on May 29 Why output-stage PII masking is the wrong protective surface for data exfiltration in RAG #ai #rag #security #llm "The output filter runs after the LLM has already seen the confidential data. By then, three classes of leak can no longer be stopped. The right surface is retrieval.
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