You built it in a week. Now find out what you built.
A model wrote most of it, it works, and people are using it. The part nobody covered is whether the thing you deployed is safe to have on the internet - and you would rather not learn application security to find out.
Sound familiar?
The code works, you understand the shape of it, and you have no idea whether that database query can be twisted by a stranger.
Open-source tools return four hundred results with CWE numbers and no indication which of them can actually hurt you.
A key pasted into a file to “test something” at 2am is the single most common way a small product gets drained.
The check you ran once before launch says nothing about the eleven deploys you shipped since.
One page that says fix this first.
AppScan reads your live app and your repository, then writes each finding in five plain answers: what is wrong, why it matters, how someone would abuse it, how to fix it and how the fix gets verified. No CVSS vector, no vocabulary test.
- Start with nothing installed
A URL and an email gets you the whole runtime half: TLS, headers, cookies, exposed files, keys in your JavaScript and every request your pages make.
- It knows your stack
Next.js on Vercel with Supabase is read differently from Rails on a VPS. The advice matches what you actually deployed.
- The fix arrives as a pull request
When you connect GitHub, Fix with AI writes the change against your file and opens it as a draft for you to read and merge.
- It keeps watching
Every push after that is classified and scanned, so the eleventh deploy gets the same attention as the first.
- Criticalsource.secrets.credential-committedA Stripe secret key is committed to the repository
- Criticalsource.injection.sql-built-from-inputSQL is built from request input in findOrders
- Highbrowser.network.data-readable-unauthenticatedOrders API answers without a session
- Mediumruntime.headers.csp-missing-or-unsafeContent-Security-Policy allows inline scripts
- ✓Reaching the site
- ✓Checking HTTPS
- ✓Detecting the stack
- ✓Inspecting security headers
- ✓Checking cookies
- ✓Reading DNS and mail records
- ·Reading the page head and structure
- ·Reading robots.txt, sitemaps and security.txt
9 unchanged findings inherited from main, not raised again.
One broke in this change: tenant scope removed from a lookup.
What the first week actually looks like
- 01Sunday: run the free scan
Paste the URL of the thing you launched. The report arrives by email in a few minutes and tells you whether anything is urgent.
- 02Monday: connect the repository
Install the GitHub App on one repository. The first inventory scan reads your lockfiles, your history and your deploy files.
- 03Tuesday: fix the two that matter
Work the fix-first list from the top. Ask for a fix on the ones you are unsure about and merge the drafts.
- 04The rest of the week: ship
Keep deploying. Each push is scanned, and you hear from AppScan only when a change actually made things worse.
One app, watched continuously, with the repository connected and a thousand credits a window for explanations and fixes.
- One site with its repository connected
- All 249 rules, including the 52 source rules
- Fix with AI as a draft pull request
- Instant alerts and a weekly digest
Start on Free, which does not expire. Upgrade when it pays for itself.
It takes one URL to find out.
The free scan is the full runtime half of the product. If your app is fine, the report says so and you have lost four minutes.