On-Demand WebinarGoverned AI With MCP: Build Agentic Systems Without Losing Control
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AI agents need live data access. Your security and compliance teams need governance, auditability, and control. These requirements aren't in conflict, but most implementations treat them that way. MCP (Model…
AI agents need live data access. Your security and compliance teams need governance, auditability, and control. These requirements aren't in conflict, but most implementations treat them that way. MCP (Model Context Protocol) is reshaping how AI agents connect to enterprise data sources. The protocol itself solves the connectivity problem. It doesn't solve the governance problem. That requires a semantic layer that understands what data means, who should access it, and what questions are appropriate to answer. This session covers:
How MCP works and why raw protocol access isn't enough for enterprise deployment
Building agentic systems that query live data without bypassing access controls or breaking audit trails (live demonstration)
Using Simba Intelligence to provide the semantic context AI needs for accurate answers while enforcing data access policies
Whether you're working under GDPR, HIPAA, or internal governance requirements, you'll leave with a practical framework for moving AI implementations from pilot to production.