BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//hacksw/handcal//NONSGML v1.0//EN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260722T235850Z
DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16877\nModel Context Pro
 tocol (MCP) is rapidly emerging as the standard mechanism for connecting AI
  assistants and autonomous agents to enterprise data, applications, APIs, a
 nd business processes. While MCP dramatically expands what AI systems can a
 ccomplish, it also introduces an entirely new category of governance challe
 nges.\nTraditional AI governance focuses on models. MCP shifts the governan
 ce challenge toward connections, permissions, context, tools, and autonomou
 s actions.\nThis presentation explores the governance controls organization
 s must establish before allowing AI agents to interact directly with enterp
 rise systems. Through practical examples and interactive discussion, attend
 ees will learn how to identify governance risks, design appropriate control
 s, and build an operating model that enables innovation while protecting en
 terprise information assets. This includes:\n\n	MCP architecture\n
 Agent governance\n	Tool governance\n	Identity and authorization\n
 Agent permissions\n	Agent-to-agent communication\n
 Human approval workflows\n	Auditability\n	Observability\n
 Runtime governance\n	Security considerations\n\n
DTSTART:20261118T093000
SUMMARY:Governing MCP and the Enterprise Tool Ecosystem
DTEND:20261118T101459
LOCATION: See Description
END:VEVENT
END:VCALENDAR