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Your AI coding tools — Claude Code, Cursor, Codex, Copilot, and more — now route through Unbound. We see every prompt, every terminal command, and every MCP tool call your agents make, and we enforce your policies inline, before anything runs. Nothing changes for your users. Everything changes for your security team. This playbook walks you through what’s in the platform, what each part is for, and how to get value fast.

1. Getting started (5 minutes)

1

Sign in

Go to your Unbound gateway at gateway.getunbound.ai — or your organization’s custom tenant domain, if you have one.
2

Connect your first tool

Open Connect → AI Coding Tools, pick your tool, and follow the one-line setup. For Claude Code and Codex, choose Subscription mode — keep your existing Claude / OpenAI subscription while Unbound observes and enforces via hooks.
3

Roll out to your team (admins)

Open Connect → Device Deployment, choose the tool and platform (macOS / Windows), and copy the single MDM install command. It deploys Unbound to every user on a device with no per-user setup.
Once a tool is connected, its activity starts flowing into Unbound immediately.

2. The dashboard — your home base

Your landing page is an at-a-glance health view of your whole org: devices and tools connected, agentic activity (terminal commands and MCP calls), how many actions were blocked / warned / allowed, total spend, and recommendations. It’s built to be skimmed — start here each day, then click into whatever needs attention.

3. See what your AI tools are actually doing

Before you write a single policy, get visibility. Open AI Tools Discovery → Summary. This is your mission control: it inventories every AI tool detected across your org and flags risk. Three things to check on day one:

Shadow AI tools

Unsanctioned AI tools users installed on their own. Review the list and decide what’s approved.

Unconfigured Full-Auto users

Users running with auto-accept and no deny rules and sandboxing off — the highest-risk setups. The Permissions sub-page shows exactly who.

Unverified MCP servers

MCP servers whose publisher is unofficial or unknown. The MCP Servers sub-page flags each one so you can spot shadow MCP.
The other sub-pages — Users, Tools, Tool Rules, Skills, Setup — let you drill into per-user detail. You don’t need them on day one.

4. Tool Policies — guardrails on what AI can do

Tool Policies govern the actions AI agents take — the terminal commands they run and the MCP tools they call — and stop the dangerous ones before they execute. Find them under Policies → Tool Policies.

What each action does

Warn shows an inline confirmation prompt on Claude Code, Copilot, Codex, Augment Code, and Claude Cowork.Two tools behave differently, and it matters:
  • On Cursor, a Warn policy is not enforced — the command runs, with no prompt. Use Block on Cursor if you need the action stopped.
  • On OpenClaw, Warn blocks the command outright, because OpenClaw has no confirmation prompt to show.
If your users run agentic workflows, start with Audit to learn what’s normal, then tighten to Warn / Block. A hard Block mid-chain returns an error that can interrupt a multi-step agent task.

Three ways to create a policy

  1. Guided form (UI). Open Policies → Tool Policies and click Create Policy, then choose Terminal Commands or MCP Actions. Build the rule with dropdowns: When (command family) → If (field to match + pattern) → Then (action) → optionally scope to User Groups. A live preview shows the rule in plain English as you build it.
  2. Describe it in plain English. The create dialog has a “Describe a policy or paste a command…” box. Type what you want — e.g. “Block any database command that drops or truncates” — and Unbound fills in the form.
  3. Ask your AI agent (CLI). Any user onboarded with the Unbound CLI can ask their agent (Claude Code, Cursor, Codex) to create the policy. The agent runs the unbound CLI for you. Requires the CLI installed and logged in with an Admin role.

Command families you can target (terminal commands)

Unbound classifies every command an agent runs into a family, grouped by area: Each family matches on specific fields — e.g. Database Admin matches on database, table, operation, environment; Delete File matches on path.

Recommended Starting Policies

The day-one pack — every high-impact action across every command family, each with a prompt you can paste into your AI agent to watch the policy fire.

Threat Model

The pack mapped to the threats it defends against — six layers, what each blocks vs. audits, and the rationale to take to your security review.

Tool Policy Examples

Hand-picked terminal-command and MCP examples for the most common asks (block destructive DB ops, require approval before merge, audit every git push, …).

5. Where to find things

6. Settings you should know (admins)

Under Settings:
  • Integrations — connect Slack (required for the Require Slack Approval action).
  • Policy Enforcement — choose what happens if Unbound is ever unreachable: Allow (operations run as usual — the default) or Block (operations are denied). Pick based on your risk tolerance.
  • Users & User Groups — invite teammates, assign roles (Admin / Manager / Member), and create groups to scope policies to specific teams.

7. Troubleshooting

  • Policy not firing? Confirm it’s Active and scoped to the right user group (empty = everyone).
  • MCP policy not matching? Check the exact MCP server name on the MCP Servers page.
  • Command classified differently than you expected? Open the command in Analytics → Tool Use → Terminal Run — the family and risk score are shown on every entry.
  • “Require Slack Approval” not prompting? Connect Slack under Settings → Integrations.
Questions? Reach us in Slack or email support@unboundsecurity.ai.