Connecting ChatGPT Enterprise to a database requires a robust, multi-layered approach beyond simple credentials. This involves establishing identity for users and agents, defining specific capabilities with approved parameters, and implementing strict data scope controls with read-only roles. Additionally, execution controls for timeouts and budgets, along with evidence logging for auditability, are crucial for secure and effective data interaction. AI
IMPACT This article details a best-practice approach for securely integrating large language models with enterprise databases, emphasizing the need for robust security and governance layers.
RANK_REASON Article describes a technical implementation detail for a specific product feature.
- ChatGPT Enterprise
- database
- Data scopes for digital history research
- evidence
- Execution control method and information processing apparatus
- identity
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