Opinion: lock down MCP servers before an LLM rollout
Original title: Securing MCP servers before the AI rollout outpaces security
The piece treats MCP hosts like database drivers and lists controls from input checks to human approval of high-risk actions.
A CSO Online contributor opinion argues that teams rolling out a first LLM app will also deploy Model Context Protocol servers that translate AI requests into tools such as databases, file shares and CRMs. It compares MCP to 1990s ODBC and says one host can reach multiple servers, widening risk. Recommended controls include input and output checks, network segmentation, CIS-style hardening, least privilege, short-lived tokens, encryption, tool limits, vendor assessments, logging and human approval for high-risk actions.
- Indirect external inputs are described as untrusted and a jailbreak and data-leak risk.
- Multiple MCP servers are suggested to avoid grouping tools with different access needs.
- Pre-production tests include fake PHI or SSNs, auth checks and network filtering.
- Third-party proof cited includes SOC 2, HITRUST or ISO 27001/2, plus a BAA if PHI is involved.
- 1.Validate and sanitize MCP inputs and outputs, including jailbreak and sensitive-data checks.
- 2.Segment MCP hosts and restrict tools, permissions and token lifetime.
- 3.Require human approval before high-risk LLM actions or critical outputs.
From the original article
5 min read at csoonline.com
Your company’s CTO has a plan to implement your company’s first LLM-based application. The board approved it, and now you’re finding out about it. It’s a typical story I hear all the time, and I’ve lived it myself.
csoonline.com
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