How do you defend against prompt injection?

Layered: keep instructions and untrusted data separated, treat all tool and document output as untrusted, require human approval for state-changing or irreversible actions, constrain tools to least privilege so a hijacked agent can't do much, and log everything. There's no single silver bullet, so we defend in depth.

Can you review and harden MCP servers we already built?

Yes. We run a security assessment against your existing MCP servers — tool scoping, auth, injection surface, secrets handling, and audit coverage — and deliver a prioritized remediation plan plus the hardening work itself. You don't have to have used us to build them.

How does this map to our compliance requirements?

We map controls to the frameworks you answer to (SOC 2, ISO 27001, and sector rules like HIPAA or PCI DSS), and the audit logging and access controls are built to produce the evidence your auditors ask for. Threat models and control matrices ship with the work.

Do the servers run in our environment?

Yes. MCP servers run inside your VPC with your SSO/RBAC and secrets management. No data egress, and the code, threat models, and runbooks transfer to your team.

How do you scope and price MCP security work?

Two common shapes. A fixed-scope Security Assessment of your existing MCP servers — tool scoping, injection surface, secrets handling, and audit coverage — that delivers a prioritized remediation plan, or a hardening engagement that implements the fixes. Both are fixed-scope with defined deliverables and typical timelines of a few weeks; larger programs scale from there. We scope against your actual server inventory, not a rate card.

Security & Governance

MCP 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.

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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 target

A 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.

Speed

Architecture and success criteria signed off in week one. First working slice running in your environment inside 30 days.

Zero effort

Fully done for you. Our senior squad owns ontology, build, evals, and compliance mapping: your team reviews and signs off, nothing more.

Risk reversal

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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