Interactive demo

See a scan, end to end.

Eleven real screens from a scan of a public repository, in the order you meet them. Click a highlight to move on, or use the arrows and your ← → keys.

Signing in. GitHub or Google. Signing in never asks for access to your code, and a public repo can be scanned from its link alone. A private repo needs a read-only connection you grant separately, if you ever want one.
Every risk in one view. Every repository in the workspace rolls up into one view: open risks, how many are critical or high, how many already have a fix, and where they sit across your code, dependencies and secrets.
Starting a scan. Paste the link to any GitHub repository you own or have permission to scan, or pick one you have scanned before. Nothing to install, no CI to wire up, no config file to commit first.
The verdict first. A grade and a score out of 100 before a single finding. This repository's first scan graded C, 67 out of 100, across 20 findings, with a one-line verdict: worth fixing before you share it widely.
Worst first. All 20 findings, grouped by severity with critical at the top. Each one names the rule, the file and the line, then says in plain English what somebody could do with it.
Each finding makes its case. Open a finding for the full case: what goes wrong, where, and what the AI review concluded. When the code alone cannot settle it, the review says so plainly and asks a person to look.
How an attacker gets there. The attack path maps the weakness to MITRE ATT&CK, from how a request reaches the code to what it exploits. It shows the likely route, not proof, and the fix with corrected code follows it.
Where the risk sits. The Map tab draws the repository as a graph: folders, files sized by risk, and each finding pinned where it lives. Beside it, the files that cost your score most, worst first.
A prompt, not a PDF. One prompt for the issues worth fixing, written for the tool you use: Claude Code, Cursor, Lovable, ChatGPT, Gemini or any other. Copy it, paste it, and the tool makes the edits.
A record of every scan. Audit logs keep every step of every scan for 90 days, down to the moment the scanner deleted your code. Filter, search, and download the log whenever someone asks.
That is the whole thing

Now run it on your own code.

Your first scan is free. It takes about two minutes and it does not need access to your source.

Step 01

Signing in

GitHub or Google. Signing in never asks for access to your code, and a public repo can be scanned from its link alone. A private repo needs a read-only connection you grant separately, if you ever want one.

Step 02

Every risk in one view

Every repository in the workspace rolls up into one view: open risks, how many are critical or high, how many already have a fix, and where they sit across your code, dependencies and secrets.

Step 03

Starting a scan

Paste the link to any GitHub repository you own or have permission to scan, or pick one you have scanned before. Nothing to install, no CI to wire up, no config file to commit first.

Step 04

Watching it run

Each stage reports as it finishes, ending with your code being deleted from the scanner. This scan took 54 seconds; the clip is shortened. You can close the tab, it keeps going.

Step 05

The verdict first

A grade and a score out of 100 before a single finding. This repository's first scan graded C, 67 out of 100, across 20 findings, with a one-line verdict: worth fixing before you share it widely.

Step 06

Worst first

All 20 findings, grouped by severity with critical at the top. Each one names the rule, the file and the line, then says in plain English what somebody could do with it.

Step 07

Each finding makes its case

Open a finding for the full case: what goes wrong, where, and what the AI review concluded. When the code alone cannot settle it, the review says so plainly and asks a person to look.

Step 08

How an attacker gets there

The attack path maps the weakness to MITRE ATT&CK, from how a request reaches the code to what it exploits. It shows the likely route, not proof, and the fix with corrected code follows it.

Step 09

Where the risk sits

The Map tab draws the repository as a graph: folders, files sized by risk, and each finding pinned where it lives. Beside it, the files that cost your score most, worst first.

Step 10

A prompt, not a PDF

One prompt for the issues worth fixing, written for the tool you use: Claude Code, Cursor, Lovable, ChatGPT, Gemini or any other. Copy it, paste it, and the tool makes the edits.

Step 11

A record of every scan

Audit logs keep every step of every scan for 90 days, down to the moment the scanner deleted your code. Filter, search, and download the log whenever someone asks.

Step 01 of 11 Signing in
What happens, in order

A scan reads a whole repository and tells you what an attacker would find first.