Forum Discussion
Advocate IIntegrating a Large Language Model with Power BI for Natural Language Queries
Hi LB_Team
Integrating a Large Language Model (LLM) with Power BI for natural language querying can certainly enhance user interaction, but your concern about data security is valid and important.
When considering methods like Copilot or Azure Machine Learning, it's essential to assess whether the model runs in a secure, tenant-isolated environment and if it supports enterprise-grade compliance standards like data encryption at rest and in transit, identity access management, and data residency controls.
Unlike open models, enterprise integrations via Azure OpenAI or private endpoints within Azure ML allow for more control over data exposure, ensuring that sensitive or confidential information remains secure. Evaluating the architecture and governance settings of these tools is crucial before deployment in environments that handle sensitive data.
Super UserHi LB_Team
Integrating a Large Language Model (LLM) with Power BI for natural language querying can certainly enhance user interaction, but your concern about data security is valid and important.
When considering methods like Copilot or Azure Machine Learning, it's essential to assess whether the model runs in a secure, tenant-isolated environment and if it supports enterprise-grade compliance standards like data encryption at rest and in transit, identity access management, and data residency controls.
Unlike open models, enterprise integrations via Azure OpenAI or private endpoints within Azure ML allow for more control over data exposure, ensuring that sensitive or confidential information remains secure. Evaluating the architecture and governance settings of these tools is crucial before deployment in environments that handle sensitive data.