Scan pull requests for security vulnerabilities with AI

Every pull request gets reviewed by AI for security issues, with serious findings flagged to your team on Slack.

How the work actually flows

It branches. Any that apply are taken.

Pattern: Multi-Choice (6)

flowchart TD trig>"new pull request opened"]:::trig s0["ai reviews code changes"]:::task s1["flag vulnerabilities found"]:::task trig --> s0 s0 --> s1 gx{"○ how severe is issue"}:::gate s1 --> gx p00["comment on pull request"]:::task gx -->|"any vulnerability"| p00 p10["alert team on slack"]:::task gx -->|"serious vulnerability"| p10 p00 --> out p10 --> out out[/"flagged vulnerabilities with team alert"/]:::out pay{{"catches risks before production"}}:::pay out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAny that applyResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsMessaging & NotificationsDevOps & IT OperationsSecurity & Compliance
Connects
GitHubOpenAISlack

The problem it solves

Reviewing every pull request for security issues by hand takes time your engineers don't have, and standard scanning tools often miss vulnerabilities that only show up with real context. Serious problems can slip through and reach production.

Who it fits

Engineering or DevOps teams managing a codebase on GitHub.

How it works

  1. A new pull request is opened on GitHub
  2. AI reviews the code changes along with any existing reviewer comments
  3. If it finds a vulnerability, it leaves a comment directly on the pull request
  4. Serious issues also trigger an alert to your team's Slack channel
What you get

Vulnerabilities caught before they reach production

Every pull request gets reviewed for security issues automatically, with serious findings flagged straight to your team on Slack.

What you get

A pull request comment flagging vulnerabilities, plus a Slack alert for serious issues.

What you need

A GitHub account with repository access, an OpenAI API key, and a Slack workspace.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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