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 adoption
• How MCP unlocked momentum — and why marketplaces, validation, and control are required to make it safe
• When 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 like
• How AI is changing who uses data platforms, not just what they build

Highlights

(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 One

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