Scan code repositories for security and compliance risks

The system audits your codebase for security and compliance issues and produces a severity-ranked report.

How the work actually flows

It branches. Every path runs; all paths must finish before it continues; a person is alerted when a step fails.

Pattern: Parallel Split (2) ยท Synchronisation (3)

flowchart TD trig(("you start scan for a repository")):::human s0["rank findings by severity"]:::task s1["produce governance report"]:::task trig --> s0 gx{"+ what to check for"}:::gate s0 --> gx p00["scan for vulnerabilities"]:::task gx -->|"security vulnerabilities"| p00 p10["check architecture quality"]:::task gx -->|"architecture issues"| p10 p20["check compliance gaps"]:::task gx -->|"compliance gaps"| p20 jn{"+ combine findings"}:::gate p00 --> jn p10 --> jn p20 --> jn jn --> s1 out[/"severity-ranked governance report"/]:::out pay{{"catches risks before release ships"}}:::pay s1 --> out out --> pay esc(("Alerts a person")):::human s1 -. "if it fails" .-> esc esc -.-> out 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
A stepA personEvery pathWaits for allResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsReporting & AnalyticsSecurity & Compliance
Connects
OpenAIGitHubGitLab

The problem it solves

Manual code audits eat up engineering time and still miss things, especially before a release. Waiting on a security review to catch a critical issue can delay a launch or let a real risk slip through.

Who it fits

Engineering leads and DevSecOps teams who need repeatable code governance checks.

How it works

  1. The scan is started for a chosen repository
  2. AI agents check the code for security vulnerabilities, architecture issues, and compliance gaps
  3. Findings are ranked by severity
  4. Critical issues trigger an alert to your team
  5. A full governance report is produced with all findings
What you get

Security issues caught before they become incidents

Your codebase gets a repeatable, severity-ranked security and compliance check, with alerts on critical findings.

What you get

A severity-ranked governance report covering security, compliance, and architecture issues.

What you need

An OpenAI account and access to your code repository, such as GitHub or GitLab.

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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