Ascertify reads the code, the code you built with AI, or the code you paid someone else to build, and shows you what's exposed, what's missing, and what to fix first. In plain English, pinned to the exact file and line.
Connect a GitHub repo or upload a zip. We read the code. We never run it.
Most scans finish in a few minutes, and you watch the progress live.
Built for JavaScript & TypeScript apps (Next.js, Supabase, Firebase, Prisma). Other stacks: not yet.
Your secret database admin key is sitting in code that ships to the browser. It bypasses every access rule you have. Anyone who opens your site can read or change all of your data.
Your app looks finished on the surface. The problems live underneath, in files you'd never think to open. So we open them, and point at the exact lines.
can someone reach your data, your keys, your database?
Leaked credentials, databases open to the internet, secret admin keys shipped to every visitor's browser.
is it real work, or plausible-looking output, shipped and billed?
Packages that don't exist in any registry, a database with nothing but default scaffolding, template code passed off as custom.
could a new developer, or you next month, pick this up and run?
Missing setup instructions, no record of how the database is structured, no safety net when something changes.
Point us at a GitHub repo or drop in a zip. Either way, nothing gets installed or run. We only read.
Deterministic checks, no guesswork. Every finding is tied to a real file and line, with the exact snippet shown.
Paste the findings into your AI tool and fix them yourself, or forward the report to your developer before you sign off the milestone.
Every scan runs this exact list: deterministic checks, not impressions. Nothing on it requires you to trust our judgment, because every hit comes with the file and line that triggered it.
And every report lists what a static scan can't see: runtime behavior, whether your features actually work, performance under load. A clean result on this list is real, but it's never dressed up as more than it is.
No vague grades, no “your app is risky.” Every finding is pinned to a line of real code: specific enough that a defensive developer can't wave it off, clear enough that you don't need one to understand it.
No subscription, no upsell loop. You need this at one moment (right before you ship, or right before you pay the final invoice), so it's priced as a single check. Run it again on the next milestone or the next hire, same one-time price.
The build cost you real money, or weeks of your own time. Knowing what's actually in it costs $49.
Free preview
A count of the critical findings in your code. Enough to know whether there's a problem worth raising, before you pay for the detail.
Run free previewEvery finding with file-and-line proof, the exact code, a plain-English explanation, a recommended first step, and a PDF you can forward to your developer.
Get full report ($49)Every claim below is one you can check yourself, which is the only kind of trust worth offering someone who's been burned before.
Connecting a repo uses a standard GitHub OAuth grant. You can see exactly what you approved and revoke it from your GitHub settings the moment the scan is done.
We read files as text: we never run your app, install its dependencies, or execute its tests. Each scan runs in an isolated sandbox and the code is deleted when it completes.
No finding reaches your report without a real file, line, and snippet behind it. Deterministic tools find the risk first. Plain English only explains what's already there.
We report only what we can prove: the file, the line, and the exact code. We're not a penetration test, and we don't certify your app as secure. We'll always tell you what we checked and what we didn't, because a finding you can stand behind is worth more than a grade you can't.
After 15+ years building software for startups and agencies, the question I get from founders has changed. It used to be “can you build this?” Now it's “someone already built this — can you check it?” Ascertify is that check, automated: the same things I'd look for by hand, with the evidence attached, so you don't have to take anyone's word for it. Including mine.
Your code is pulled into an isolated, network-disconnected sandbox, scanned, and deleted when the scan completes. We never run your code, never install its dependencies, and never build it. When you connect GitHub, you can see exactly what access you're granting and revoke it anytime from your GitHub settings. The report keeps only the findings and the specific snippets that prove them, not your codebase.
JavaScript and TypeScript apps(Next.js, React, Node) with deep checks for Supabase, Firebase, and Prisma. That covers most AI-built apps today. Bubble, WordPress, Rails, and native mobile apps aren't supported yet, and the free preview will tell you your project isn't a fit before you pay, not after.
No. That's the point. Every finding is explained in plain English: what it is, why it matters to your business, and what to do about it first. The technical evidence is attached for whoever does the fixing: your developer, or your AI tool.
Then the specific things we check came back clean, which is worth knowing, and the report lists exactly what those checks were. A clean result is not a certification that your app is secure; no static scan can honestly promise that. And the free preview shows your critical count before you pay, so you never buy a report blind.
No. A penetration test probes your live, running application. We read your code without ever running it, which catches a different class of problems (leaked keys, open database rules, missing pieces) with proof you can point to. Every report lists what we checked and what we didn't.
For fixing things, we encourage exactly that: the report is written to be pasted into your AI tool. Findingproblems is a different job. A chat model reads a sample of your code, gives different answers every run, and can both miss real issues and invent convincing ones. Our findings come from deterministic scanners that read every file and return the same result every time; AI is only used to translate proven findings into plain English. And if AI built your app, asking it to grade its own work isn't much of an audit.
Most scans finish in a few minutes, and you watch the progress live. The free preview appears as soon as the scan completes; the full report and PDF are ready right after payment.
The free preview exists so you never buy blind: you see your critical count before paying anything. If you buy the full report and it isn't useful, email support@ascertify.io within 7 days for a full refund. That policy is written into our terms, not just this page.
Run a new scan. The free preview will show whether your critical count dropped to zero before you spend anything, and a fresh full report gives you updated evidence to keep on file: useful when signing off a milestone.
Every finding with the file, line, and exact code that triggered it, a plain-English explanation of the risk, a recommended first step, and a shareable PDF. One-time payment, not a subscription.
The free preview takes a few minutes and tells you if there's anything worth worrying about. Start there.
Scan your code, free to startNo install, no build, no run. Your code is sandboxed and deleted after the scan.