Scopebond
AI oversight and accountability

Adopt AI with oversight you can demonstrate.

Scopebond brings visibility, control, and evidence together for your connected AI coding tools. See what agents do, block supported harmful actions, and share records others can check.

Start with Claude Code, Cursor, Codex, and GitHub.
See Scopebond in 69 seconds1:09 · Read transcript
The questions every organization needs to answer

Three questions.
Scopebond brings the answers.

As AI adoption grows, your organization needs a clear view of its actions, protections, and evidence.

What did an agent do?

Visibility

Follow recorded activity, see who’s responsible, and focus on work that needs attention.

How are we protected against harmful actions?

Control

Apply your rules to stop supported harmful actions before they run. Review rule changes with your team.

Do we have evidence of what an agent did?

Evidence

Share signed records of actions, rules, and decisions that reviewers can check independently.

See oversight in action

Know what happened.
Know what needs your attention.

A shared workspace connects recorded activity, responsible people, rules, and evidence—so oversight becomes part of everyday work.

Actual Scopebond sample workspace showing an overview, agent activity, review queues, and workspace rules. All displayed activity is fictional sample data.
Actual Scopebond workspace · fictional sample dataFollow one decision
Visibility · the action

An agent tries to overwrite protected work.

Understand the requested action and the agent responsible.

Control · the rule

Your configured rule blocks it.

The supported action is stopped before it runs.

Evidence · the record

The decision is ready for review.

A signed record connects the action, rule, and decision.

Inspect a signed sample record

This illustrative sample is signed with the published sample key. It is not customer history; its signature does not independently prove an external outcome.

scopebond:record signed
{
  "type": "scopebond:receipt",
  "realtime_result": "deny",
  "executed": false,
  "intent": {
    "action_type": "git.push",
    "params": {
      "remote": "origin",
      "ref": "main",
      "force": true
    }
  },
  "policy_ref": {
    "id": "coding-agent-starter",
    "version": 1,
    "digest": "b660a1b81fcac7a688c760b9df347463d3256163d08b9bdd4b6f39981955f509"
  },
  "execution": {
    "state": "denied",
    "external_effect": "not_independently_verified"
  },
  "attester": {
    "kind": "gateway",
    "kid": "key:352d5e1592d02d3b"
  },
  "timestamp": "2026-09-21T14:14:07Z"
}
Signed with Ed25519. Verify offline: npx @scopebond/gateway@latest verify record.json

Illustrative protected-branch example. Coverage depends on the configured connection.

See how it works
Connect the work you want to protect

Start with the coding tools your team uses.

Claude CodeCursorCodexGitHub

Supported actions can be checked before execution or merge. Some actions are recorded for review rather than prevented.

Explore integrations and coverage
Make an informed decision

Clear answers before you get started.

Understand what Scopebond protects, how setup works, and what you can demonstrate.

Review trust and security
What can Scopebond stop?

Supported actions routed through a configured connection that break your rules. GitHub checks must be required to prevent merging. Actions outside the connection are not covered.

Who handles setup?

A developer connects your supported tools. Owners and reviewers can then use the workspace to follow activity, review rules, and share evidence.

What do the records show?

The recorded action request, rule, and decision. Reviewers can check signatures independently. A signature alone does not establish an external outcome or compliance.

Does our code leave our environment?

Activity records are designed to exclude prompts, file contents, and secrets. The Trust and Privacy pages explain the data Scopebond holds.

Where do the rules run?

On connected computers or in your own workflow. The shared workspace brings activity, rule review, and evidence together.

Protect important work.
Adopt AI with confidence.

Bring visibility, control, and evidence into your organization’s AI oversight.

Organization-specific requirements? Explore Enterprise