Agents are being created faster than most organizations can track them. Some deliver value. Others introduce risk. Some appear outside established processes, with unclear ownership and expanding permissions. This session frames agent governance as an operational response problem rather than a policy discussion. Using Agent 365 as the operational control system, we walk through how organizations can detect, assess, and respond to uncontrolled agent deployment and growth. Over a series of evolving scenarios, the audience becomes part of a simulated response team. As new agent situations emerge, attendees make decisions that affect visibility, access control, lifecycle management, and containment. The outcomes of those decisions are demonstrated in real time. Through practical examples, the session shows how Agent 365 supports monitoring, ownership assignment, access enforcement, and ongoing administration of agents already in production. The focus is on maintaining speed and autonomy for builders while giving organizations the controls needed to operate safely at scale.

Model Context Protocol (MCP) is changing how AI agents interact with tools, share context, and adapt over time. As organizations move beyond static integrations, MCP introduces a new way for agents to reason about available capabilities and coordinate actions. In this session, we demonstrate MCP in practice using Copilot Studio through live demos, starting with straightforward MCP-backed interactions and progressing to more advanced scenarios such as tool discovery, agent and tool chaining, and contextual handoff. Along the way, we show how Copilot Studio communicates with MCP-backed tools, how context is passed and reused, and how these patterns differ from traditional API integrations. Attendees will leave with a practical understanding of where MCP fits in modern agent design and how to apply these patterns in their own environments.