Security & Governance
MCP Server Security for Enterprise AI Agents
Give agents access to your systems without giving them the keys. Least-privilege tools, prompt-injection defenses, approval gates, and immutable audit logs: reviewed by your security team, deployed in your VPC.
What is MCP security?
The Answer
MCP security is the hardening of Model Context Protocol servers, the layer that connects AI agents to your systems, against the risks that come with giving a model the ability to act. It covers authentication and least-privilege tool scoping, prompt-injection and confused-deputy defenses, human-in-the-loop approval on state-changing actions, and immutable audit logging, so an agent can only do what you explicitly authorized and every call is provable after the fact.
What you get
Three outcomes we commit to before we start.
Least-privilege tools, not raw keys
Agents get a small, reviewed set of scoped tools mapped to your IAM, never raw API keys or open query access. The blast radius of a compromised or misled agent is bounded by design.
Defended against prompt injection
Untrusted content can't silently escalate an agent's privileges. We separate instructions from data, gate state-changing actions behind human approval, and treat tool output as untrusted, closing the confused-deputy path attackers rely on.
Provable after the fact
Every tool call is logged immutably with the who, what, and why. When security or compliance asks what an agent did last Tuesday, the answer is a query, not an investigation.
The Guaranteed Production Pilot
Fixed scope · Written targetA production MCP Security system in your VPC: audited, documented, owned by your team.
Not a slide deck and not a sandbox demo: a working MCP Security deployment inside your own cloud boundary, mapped to your compliance controls and handed over with the schema, the eval harness, and the runbook.
Architecture and success criteria signed off in week one. First working slice running in your environment inside 30 days.
Fully done for you. Our senior squad owns ontology, build, evals, and compliance mapping: your team reviews and signs off, nothing more.
Fixed scope, fixed price, and a measurable success target agreed in writing before we start. Miss the target and you don't pay for the pilot.
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Where MCP Security lands in production.
Service FAQ
People also ask about mcp security.
LLM prompt injection defense in production is an architecture problem, not a prompt problem. Agents never receive a raw admin token or write their own queries. They call named, typed, permission-scoped tools through an MCP server, every state-changing action is validated against policy before execution, and anything above a configured threshold requires a human approver. We run a RAG pipeline security audit checklist across tool scope, retrieved-content trust boundaries, and audit logging. The same AI architecture audit checklist is what we hand a client evaluating someone else's design.
Not sure which lane is yours?
Which lane needs mcp security right now?
A 30 minute call and we'll tell you whether this service or a different starting point fits your team best.
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