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Artificial Intelligence Advanced
The Ethics of RAG: Data Privacy in Enterprise AI
July 1, 2024
5 min read
P
Portfolio OwnerIn this article
- Vector databases need access controls too.
- Sanitize data before embedding it.
- Enterprise AI is 10% model, 90% data governance.
Building a chatbot that answers questions based on company PDFs is the 'Hello World' of modern AI development. But when you index internal HR documents or financial reports into a vector database, you create new vulnerabilities. This post discusses the architectural safeguards needed when building RAG (Retrieval-Augmented Generation) systems, specifically around role-based access control (RBAC) within the context of LLM queries.
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Introduction
Key Takeaways
Detailed Analysis
Conclusion
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#AI Ethics#Data Privacy#RAG#Security
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- System Architects
- CTOs
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#AI Ethics#Data Privacy#RAG#Security