CapAgent: Semantic Data-Flow Governance for LLM Agents in Big-Data Cognitive Computing

摘要: Large language model (LLM) agents are becoming cognitive interfaces to data lakes, enterprise knowledge bases, vector memories, browsers, files, and s

正文

Large language model (LLM) agents are becoming cognitive interfaces to data lakes, enterprise knowledge bases, vector memories, browsers, files, and software tools. This shift creates a data-governance gap: an agent may reason over large private context, yet the protected resource often lacks ...

来源: Brave/mdpi.com