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Safeguard Data Access with Hierarchical APIs
AI models should be built on top of a secure API architecture rather than direct database access. This design choice reduces the risk of unauthorized data access by leveraging established authorization layers. The AI functionality processes user queries by understanding available API endpoints and data parameters, sending formatted requests, and receiving tailored responses. The backend then processes this data into a CSV format optimized for the model's analysis needs. Leveraging advanced tools like OpenAI's assistance API allows for complex data operations, ensuring accurate results. Users receive both the analytical answer and the original data in a human-readable format to foster transparency and trust, encouraging verification of the AI-provided insights.
