Databricks’ Approach to MCP, Identity, and Control | Future Proof Ep. 12

from Future Proof: Building AI Products that Last · host Paragon

In the latest episode of Future Proof, we sat down with Elise Gonzalez, Staff PM at Databricks, to unpack how Agent Bricks and the MCP marketplace are shaping what enterprise-ready agents actually look like.We cover:Why governance, audit-ability, and user-level identity are the real blockers to enterprise agent adoptionHow MCP unlocked momentum — and why marketplaces, validation, and control are required to make it safeWhen multi-agent architectures make sense (and when they just add complexity)Why most MCP servers today won’t survive long-term — and what agent-native tools need to look likeHow AI is changing who uses data platforms, not just what they buildHighlights(00:00) Multi-Agent Architecture From Microservices to Agent Supervisors(02:12) Agent Bricks Overview Core Use Cases Extraction, Knowledge Assistants, Composition(04:01) MCP Marketplace Discovery, Governance and Enterprise Control(07:39) Validating MCP Servers Auth, Permissions and Auditability(11:37) Preventing Data Leakage Tool-Level Controls and Safety Patterns(14:58) MCP vs REST Rebuilding APIs for Agent-Native Workflows(18:48) Multi-Agent Risks Privilege Escalation, Context Sharing and Debugging(22:16) When to Use Multi-Agent vs Single-Agent Architectures(30:13) Why Databricks Invested in AI Agents and Data Governance(33:22) The Shift in Users Engineers, Business Users and Databricks OneShip integrations 10x faster with Paragon

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This episode was published on February 17, 2026.

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