🟢 READ | ⏱ 7 min | 📡 8/10 | 🎯 CIOs, enterprise architects, security leaders, anyone evaluating AI platform strategy

TL;DR

MCP (Model Context Protocol) is the emerging standard for how AI agents connect to enterprise tools without bespoke API integration. CIO.com's piece — sourced from security exec Andy Ellis and RSA Conference organizers — positions MCP as both an integration accelerator and a governance emergency. The "USB-C of AI" framing captures the value: plug existing systems into AI workflows without rebuilding them. The security community sees it differently: fewer than 4% of RSA MCP submissions are about opportunities; the rest are attack surface analysis.

Signal

• MCP enables AI actions to be performed in the context of the current user (not system-level credentials) — this improves traceability but creates new identity/governance requirements
• Enterprise MCP use cases in production: incident management data collection, support ticket prioritization/routing, cross-platform file/security/logging interconnection — these are real, not PoC
• One RSA session will demonstrate how an MCP vulnerability enables remote code execution and full Azure tenant takeover — the stakes are enterprise-grade

What They're NOT Telling You

CIO.com's audience is executives, so the piece skews toward "what to think about" over technical depth. The "USB-C" metaphor understates complexity: MCP is a protocol, not a physical connector — interoperability depends on implementation quality in both client and server, which varies wildly in community-built connectors. The governance section is mostly questions, not answers — useful for framing board conversations, less useful for engineering teams that need to actually implement controls.

Trust Check

Factuality ✅ | Author Authority ✅ (Andy Ellis is credible, RSA data cited) | Actionability ✅ (governance framework questions are immediately useful)