Creating AI agent solutions for warehouse data access and security

What this post added

This post introduces the integration of AI agents into Meta's data warehouse to enhance data access productivity and security. It details the development of user and owner agents, composed of specialized sub-agents, to streamline data discovery, access requests, and permission management. The post also explains how the data warehouse is adapted for agentic systems, including context and intention management, and introduces a 'partial data preview' use case enabled by these agents, emphasizing query-level access control, data-access budgets, and rule-based risk management.