MCP Gateway Architecture for Enterprise MCP Server Distribution
Enterprises deploying MCP agents face a governance gap that traditional API gateways cannot fill.
Staff Writer, Responsible AI Scaling
Priya holds a background in machine learning research and spent four years embedded with policy teams at two AI labs before moving into editorial work in 2021. She writes on the governance and safety tradeoffs that arise as organizations scale agentic systems beyond controlled environments.
14 stories
Enterprises deploying MCP agents face a governance gap that traditional API gateways cannot fill.
New standard requires enterprises to build AI governance infrastructure most lack today.
Most enterprises use AI but lack the governance frameworks to control it safely.
Build governance into pilots, not after launch, to cut production delays by 40%.
Unauthorized AI tools now process sensitive data faster than security teams can track them.
A new tool category emerged to secure systems traditional security was never designed to handle.
Agents operating autonomously demand governance beyond request-level inspection and routing.
Employees are quietly exposing company data to AI tools IT doesn't know exist.
Most companies ignore AI's unique risks when writing policies from old IT templates.
Organizations must classify data before AI systems ingest it.
Enterprises need real-time visibility into sprawling AI tools before governance can actually work.
Agentic systems need defenses at all four injection surfaces, not just user input.
A complete testing framework must cover four attack vectors or leave exploitable gaps for attackers.
AI assistants read everything in your browser, and most enterprises have no idea.