The Single MCP Approach to Governed AI

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July 9th

1 PM ET

Online Webinar

The future of AI isn't just intelligent - it's governed.

Eric Kavanagh

CEO

The Bloor Group

Shawhin Mosadeghzad

Director

Simba Intelligence

AI agents are rapidly becoming part of everyday enterprise workflows - but many organizations are creating hidden compliance risks in the process.


When AI connects to Salesforce, Snowflake, Tableau, and other systems through multiple MCPs, organizations lose visibility into who accessed what data, under whose authorization, and how AI-generated responses were produced. As regulations like GDPR, HIPAA, SOX, and the EU AI Act continue to evolve, fragmented governance is becoming a growing liability.

  • Why multi-MCP architectures create compliance and governance challenges
  • How a single governed semantic layer improves AI security and control
  • How row- and column-level security can be enforced across AI workflows
  • Why deterministic lineage and user attribution are becoming regulatory requirements
  • How to support enterprise AI without sacrificing flexibility

Why AI Governance Starts at the Access Layer

What You’ll Learn

  • How a single MCP architecture works in practice
  • How governed AI access creates complete audit trails
  • Why access-layer governance is becoming the foundation of enterprise AI

What You’ll See

Terrence Sheflin

Director, Engineering
insightsoftware