MCP Gateways were built to control requests — not outcomes.
But AI agents don’t just make requests. They execute code, access data, spawn processes, and create real side effects beyond what any gateway can see.
In this webinar, we’ll break down where MCP gateway visibility ends, why teams inevitably work around it, and what execution-level observability and control looks like in practice. You’ll see how modern teams are closing the end-to-end blind spot without slowing development.
Who This Webinar Is For
Engineering leaders scaling agentic systems into production
Security, AppSec, and Product Security leaders responsible for agent risk
AI / Agent Developers building autonomous AI
Platform & DevOps teams supporting agent infrastructure
What You’ll Learn
Where MCP gateway controls break down for Agentic
Understand the hard boundary between request-level visibility and execution-level actions.
Why developers inevitably work around gateways and why that creates risk
Learn how velocity pressures and blind spots lead to ungoverned agent execution.
What “end-to-end execution visibility” actually means
From agent intent to runtime actions to side effects — across frameworks and environments.
How execution-level control changes both development speed and security posture
See how teams debug faster, ship with confidence, and stop unsafe actions before execution.
Our Speakers
Harold Byun
Chief Product Officer
David Onwukwe
Principal Solutions Engineer
