For CISOs & Security Leaders

Govern AI-Assisted Code With the Context Your Organization Already Has

Connectory brings policies, engineering decisions, pull-request findings, and reviewer actions into one organization-level record. Security leaders can inspect that context in the dashboard and apply it to code review through SlopBuster and Guardian.

PR-levelcontext, findings, and review decisions
Policy-Aware Reviews
Organization-Scoped Context
Server-Side Record
Reviewer Accountability

The Governance Gap in the AI Coding Era

AI assistants increase the amount of code your team can propose. Security leadership still needs a clear record of what was reviewed, which policy applied, and who accepted an exception.

Review Context Is Scattered

A merged pull request shows the final change, but the policy, architecture decision, and review rationale may live in separate tools. That makes it hard to explain why a change was accepted later.

Policies Are Hard to Apply Consistently

Written standards help only when reviewers can find and apply them at the point of change. Different repositories and teams can otherwise reach different decisions about the same risk.

Exceptions Lose Their Rationale

When a team accepts a finding or overrides a gate, future reviewers need the decision, owner, and surrounding context. A structured history keeps that rationale attached to the work.

A Shared Operating View for AI Code Governance

Connectory connects organization knowledge with pull-request review so leaders and engineers work from the same policies and decisions.

Org Dashboard

Organization-Level Review Visibility

Use the Org Dashboard to review findings, policy decisions, open questions, and ownership across connected repositories. Filter the view to focus a leadership or engineering discussion.

Guardian

Merge Policy as Code

Define review thresholds and approval requirements for the repositories that need them. Guardian reports the policy decision as a GitHub check so your branch rules can decide whether a pull request may merge.

SlopBuster

Context-Aware Pull-Request Review

SlopBuster reviews a pull-request snapshot, surfaces security-relevant and maintainability findings, and explains them alongside the organization context available to that repository.

GitHub App

GitHub-Native Rollout

Install the GitHub App, select the repositories in scope, and choose which checks your branch rules require. Reviewers receive findings in the pull request while leaders use the dashboard for the wider view.

Put Governance Into the Pull-Request Workflow

Start with the repositories and policies that matter most, then expand the same review pattern across the organization.

1

Choose the Repositories in Scope

Install the Connectory GitHub App and grant access to the repositories you want reviewed. Keep the initial rollout focused or add more repositories as your policy matures.

2

Define and Publish Your Security Policies

Translate your review standards into clear thresholds, required checks, and approval paths. Store policy changes with an owner and rationale so teams can understand how the rule evolved.

3

Review Changes Against Current Context

When a pull request opens or changes, SlopBuster reviews the captured revision and Guardian reports the applicable policy decision. Findings and reviewer actions remain connected to that revision.

4

Review Trends and Decision History

Use the dashboard to examine recurring findings, repository ownership, open questions, and past decisions. Bring the same record into leadership, incident, and audit-preparation conversations.

What Your Team Can Put Into Practice

The value comes from making review context, policy decisions, and ownership visible in the workflow where code changes are approved.

Context

Connect engineering decisions and policies to the repositories where they apply.

Review

Surface findings on the exact pull-request revision under review.

Policy

Turn defined thresholds and approval requirements into GitHub checks.

History

Keep findings, decisions, owners, and exceptions available for later review.

See How AI Code Governance Fits Your Repositories

Bring one of your current review policies and a representative repository. We will show how Connectory captures context, reports findings, and records the decisions your team makes.