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Give AI a mandate. And a boundary.

Practical guides to MCP gateways, approvals, and AI agent governance for teams evaluating a governed agent path.

Find the guide for your next decision.

Understand MCP gateways, compare access controls, plan write approvals, or follow a guide for your role.

For IT teams

Your next shadow IT problem is an AI agent.

A practical guide for IT teams evaluating an MCP proxy and governed route for AI agent access.

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For CISOs

A trusted employee. An overprivileged agent.

A CISO guide to unmanaged agent access, MCP proxy boundaries, prompt injection, and production gates.

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For CTOs

MCP connects your tools. Who controls the calls?

A CTO guide to MCP proxy architecture, trust boundaries, approval semantics, and production trust.

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For CEOs

When AI can act, who is accountable?

A CEO guide to governing AI agent access, reducing shadow connections, and setting responsible rollout gates.

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What is an MCP gateway

What is an MCP gateway, and when do you need one?

Learn where an MCP gateway fits, which access controls to evaluate, and when a shared tool connection needs centralized governance.

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MCP vs API gateway

MCP gateway vs API gateway: which controls do you need?

Compare API and MCP gateway capabilities, check what your existing platform supports, and identify gaps in tool policy, approvals, and audit.

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Agent approvals

AI agent approval workflows: review the action before it runs

Design human review for sensitive tool calls, bind approval to the exact request, and handle retries without confusing permission with execution.

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MCP governance

MCP governance: a practical rollout checklist

Inventory agent access, review tools and credentials, configure policy, test approvals, and keep useful evidence as your MCP rollout grows.

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Choose the question your team owns.

Create an account to put these guides into practice with your team’s systems and access policies.

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