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Large Language Models are directly linked to security through academic research on their inherent privacy challenges [1] and the practical concerns regarding data protection when deploying these models in enterprise environments [2].

Facts (2)

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LLM-Powered Knowledge Graphs for Enterprise Intelligence and ... arxiv.org arXiv 1 fact
claimIntegrating large language models and knowledge graphs in enterprise contexts faces four key challenges: hallucination of inaccurate facts or relationships, data privacy and security concerns, computational overhead of running extraction at scale, and ontology mismatch when merging different knowledge sources.
A Survey on the Theory and Mechanism of Large Language Models arxiv.org arXiv 1 fact
referenceThe paper 'Security and privacy challenges of large language models: a survey' was published in ACM Computing Surveys 57 (6), pp. 1–39.