Model Context Protocol, or MCP, is quickly emerging as a practical way to connect AI assistants and agents to enterprise tools, data sources, and workflows. That promise is compelling: faster access to knowledge, reduced friction across systems, improved employee productivity, and new opportunities to streamline service delivery across government. At the same time, MCP introduces a new trust boundary that leaders must understand and govern carefully.

This session will give attendees a pragmatic view of MCP Server adoption through four lenses: business value, security risk, operational best practices, and monitoring strategy. We will explore how MCP can improve decision support, accelerate research and analysis, reduce swivel-chair work, and enable safer automation across business functions across operations, customer support, legal, finance, and executive decision-making.

We will also examine the security implications of MCP-enabled environments, including over-permissioned tool access, data leakage, prompt injection paths, weak authentication patterns, insufficient logging, and the challenge of monitoring agent-driven activity across distributed systems. We will outline practical best practices for secure deployment, including least privilege, strong identity controls, segmentation, policy-based access, anomaly detection, and governance guardrails for human oversight.

Finally, the presentation will cover why observability and security analytics are foundational to safe MCP adoption. We will describe the value of platforms that can ingest diverse telemetry, correlate identity, network, API, endpoint, and application events, enrich activity with context, and surface high-confidence detections across hybrid environments. Attendees will leave with a clear framework for how to enable MCP innovation while reducing risk and improving business trust.