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Control

AI can propose. Zof determines whether it has earned the right to act.

The Control Plane combines change, system context, risk, evidence, and enterprise policy into an enforceable decision, applied where actions actually happen.

Enforceable, not advisoryHuman approval where policy requires itWorks for any proposer
How a decision is made

Five inputs. One enforceable decision.

Every consequential action is evaluated the same way, whether a developer, a coding agent, or an autonomous system proposed it.

Sample decision · illustrativeInputs → Decision
Inputs
Change

What is being proposed, by whom or what, and in what scope.

System context

What the System Graph says the change can affect, and how critical that is.

Risk

Criticality, blast radius, and the incident history of the affected paths.

Evidence

What the Verification Engine has proven, and what is still missing.

Enterprise policy

The rules your organization set: required evidence, approvers, change windows, data boundaries.

Decision
Require approval

Technical requirements satisfied. The Payments Tier 0 policy requires a named human approver before release.

許可 · 拒否 · 証拠を要求 · 承認を要求
Decision vocabulary

Four decisions today. Finer-grained control as policy matures.

Decisions are explicit and machine-enforceable. The initial vocabulary covers the cases most enterprises need first; advanced decisions shape how an allowed action runs.

Initial decisions
Allow01

Evidence and policy are satisfied. The action may proceed.

Deny02

Policy forbids the action, or evidence shows it should not run.

Require evidence03

Specific verification is missing. The action waits until it is produced.

Require approval04

Technical requirements are met, but policy demands a named human decision.

Advanced decisions
Limit01

Allow with constraints on scope, time, or environment.

Canary02

Allow a bounded rollout and observe before widening it.

Rollback03

Reverse an action whose observed outcome violates policy.

Remediate04

Propose a fix, which then earns its own right to run.

Enforcement

Not another dashboard. Enforced where actions happen.

A control decision is only worth something if it can stop an action. Zof applies decisions at the boundaries where consequential actions actually run.

  • CI/CD pipelines

    Merge and deploy gates in GitHub, GitLab, Jenkins, CircleCI, and Azure DevOps.

  • Deployment infrastructure

    Release promotion, environment changes, and infrastructure actions.

  • Autonomous agent tooling

    The tools coding agents and autonomous systems use to act, so proposals wait for a decision.

  • Other action boundaries

    Any boundary where a consequential action crosses into production can carry a Zof decision.

Governance inside the plane

Policy, roles, and approvals are the primitives.

RBAC, SSO, named approvals, autonomy levels per environment, data boundaries, and audit trails are how your organization expresses policy to the Control Plane.

Explore the governance layer
  • Segregation of duties: proposer, verifier, and approver are distinct by design.
  • No bypass paths: every action and every rollback goes through the same decision.
  • Every decision is recorded with the policy version that produced it.
Why this matters more over time

The smarter the model, the more independent control matters.

As frontier models and coding agents take on more consequential actions, the question stops being whether they can act and becomes whether they should. An independent layer with system context, evidence, and policy is how enterprises answer that question.

Read the Reliability Thesis
Next step

Put an independent decision in front of consequential actions

Book a Reliability Sprint to see the loop on one of your systems, or talk to Zof about your control model.

  • Human approval where policy requires it
  • Enforced through CI/CD and agent tooling
  • Runs inside your trust boundary
01Zof Console

姿勢、操作、次に注意が必要なことを 1 つの面で確認できます。

エンジニアリング、QA、SREの各チームが毎日開く認証済みのホーム。品質の姿勢、進行中の実行、モジュールごとのカバレッジ、そして次に注目すべきことが分かります。

運用上の KPI

実行数、カバレッジ、リスク

出荷先のあらゆる環境に対応します。

ワークスパイン

仕様・テスト・スケジュール

仕様から計画された回帰まで。

ガードレール

RBAC・SSO・監査

指定された人間に起因するすべての行為。

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