The original title is "Securing LLMs in Enterprise Deployments: Threats and Countermeasures"

Short summary

A security analysis of enterprise LLM deployments covering prompt injection, data exfiltration, model poisoning, and supply chain attacks. The article recommends a semantic layer between AI interfaces and data infrastructure for governance, and notes that advanced RAG architectures reduce hallucination rates by up to 78%. MCP adoption is framed as a key enabler of secure, governed AI data access across enterprises.

• •Covers four major LLM threat categories: prompt injection, data exfiltration, model poisoning, supply chain
• •Semantic layer pattern recommended for governance and access control
• •Advanced RAG techniques reduce hallucination rates by up to 78% vs naive retrieval

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