Private AI: Enterprise Data in the RAG Era

Global enterprises are facing a critical threat to data sovereignty due to employees inadvertently sharing confidential information with public AI models, leading to unauthorized access and leakage. As a result, 72% of companies are shifting towards developing private Large Language Models (LLMs) using Retrieval-Augmented Generation (RAG) architecture to ensure digital sovereignty and protect sensitive internal data from external breaches. This shift addresses privacy risks by implementing air-gapped systems that operate without internet connectivity, significantly reducing the risk of data leakage and unauthorized access.

Read the full article at Towards AI - Medium

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