Scan a website's code for security vulnerabilities with AI

Submit a target and AI experts in JavaScript, PHP, and Python scan the code for exploitable security flaws.

How the work actually flows

It branches. Any that apply are taken; all paths must finish before it continues.

Pattern: Multi-Choice (6) · Synchronisation (3)

flowchart TD trig(("user submits target url")):::human s0["submit target url"]:::task s1["ai experts review code"]:::task s2["clean and prioritize findings"]:::task s3[("save report to drive")]:::store trig --> s0 s1 --> s2 s2 --> s3 gx{"○ which languages are present"}:::gate s0 --> gx p00["expert reviews javascript"]:::task gx -->|"javascript code"| p00 p10["expert reviews php"]:::task gx -->|"php code"| p10 p20["expert reviews python"]:::task gx -->|"python code"| p20 jn{"+ combine findings"}:::gate p00 --> jn p10 --> jn p20 --> jn jn --> s1 out[/"vulnerability report saved to drive"/]:::out pay{{"faster accurate vulnerability detection"}}:::pay s3 --> out 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
A stepA personA record or sheetAny that applyWaits for allResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsWeb Scraping & Data CollectionSurvey & FeedbackFile & Cloud StorageSecurity & Compliance
Connects
OpenAIGoogle Drive

The problem it solves

You need to check code for real, exploitable security issues, but manually reviewing every file across JavaScript, PHP, and Python projects is slow and easy to get wrong. Generic scanners flood you with low-value warnings that bury the vulnerabilities that actually matter.

Who it fits

Security researchers and bug bounty hunters who need fast, structured vulnerability findings across multiple languages.

How it works

  1. You submit a target URL or code source through a simple form
  2. Language-specific AI experts review the JavaScript, PHP, or Python code
  3. Each one flags only genuinely exploitable vulnerabilities, not minor style issues
  4. Findings are cleaned up and organized by severity
  5. A structured report is saved to Google Drive as a table you can scan at a glance
What you get

Vulnerabilities caught before attackers find them

You get a structured report flagging exploitable security issues across your codebase.

What you get

A structured vulnerability report, organized by severity and language, saved to Google Drive.

What you need

An OpenAI API key and a Google Drive account.

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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