A deep dive into how multi-agent AI systems help data teams securely and efficiently access massive data warehouses. We unpack data user and data owner agents, explore features like partial data previews, context and intention management, and risk-driven guardrails, and discuss evaluation, auditing, and feedback that drive a self-improving security posture. The episode also looks ahead to agent collaboration and the ongoing need for human oversight and accountability.

Note:  This podcast was AI-generated, and sometimes AI can make mistakes.  Please double-check any critical information.

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