Application security for AI-built software

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AI-built apps ship with exposed databases and broken auth because the code works even when it isn't safe. Meshbound finds those holes, fixes them from a library of human-engineered remediations, and proves each fix worked before you approve it.

Scan your app free → Get started

A plane needs a good pilot; a vibe-coded app needs an engineer behind it. Meshbound is that engineer, automated.

01 / the difference Everyone flags.
We fix, and we prove it.

Every other tool

A warning, and a prompt.

Scans your app, hands you a list of warnings, and — at best — a prompt to paste back into the same AI that wrote the hole. You're left trusting a language model to fix what a language model broke, with no way to know whether the patch worked or what else it changed. Or you pay three thousand dollars for a manual audit that's stale by the next push.

Meshbound

A fix, and the evidence.

Finds the hole deterministically — rules, not guesses. Applies a fix from a library of remediations engineered and reviewed by humans. Then rehearses it in a throwaway copy of your app: the crafted attack must fail, and a legitimate user must still get their own data. Only then do you see it, as a reviewable change. Nothing is auto-applied. Nothing asks for blind trust.

verification record Hole closed Access intact
crafted attack — foreign user id

GET /rest/v1/orders?user_id=eq.a71f
→ 200 OK · 0 rows

legitimate request — own session

GET /rest/v1/orders
→ 200 OK · 14 rows, all their own

Every fix ships with this record. That proof is the product.

02 / the workspace Findings, fixes, and the proof — in one ledger.

meshbound.dev/workspace/tastelog
tastelog · main scan #147 · 12 min ago
{{ m.severity }} {{ m.title }} {{ m.detail }} {{ m.state }}

Fix rls-enable-users-4a rehearsed in a disposable copy of tastelog, 11:42 this morning:

attack replayed · anonymous SELECT on users · 0 rows ✓
legit replayed · signed-in user reads own profile · 1 row ✓
regression suite · 38 of 38 requests unchanged ✓

03 / how it works A guardian, not an audit.

Connected once, it watches every push — because the next commit your AI writes can reopen the hole the last one closed.

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04 / what it catches The mistakes AI makes quietly.

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the honest part

What we won't do

Some holes need a human decision — who should see this table, whether that endpoint should exist at all. When we hit one, we won't guess. You get a plain-language explanation of the hole, why it can't be fixed mechanically, and what the decision actually is. A tool that knows its limits is a tool you can trust with the rest.

05 / from builders
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The opposite of the thing that broke your app.

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06 / the front door

Point it at your live app. We'll show you what anyone can read.

No signup, no agent to install. Paste the URL of your deployed app and Meshbound runs the same first pass an attacker would — read-only, against your live endpoints. If a table is open, we show you a redacted row from it. Evidence, not a lecture.

Read-only. We never write to your app. Or see an example scan

{{ probe }}
{{ scannedUrl }} example data 14.2s · 8 probed
{{ f.table }} {{ f.state }} {{ f.note }}
proof of leak · table users

{ "email": "jan•••••@gm•••.com",
  "phone": "+1 415 ••• ••42",
  "address": "11•• F•••••• St",
  "stripe_customer": "cus_Q••••••••" }

Fetched with no credentials at all. We redacted it — but we read it, and so can anyone with your URL.