Security for teams shipping AI-written code
Your repository, your deployed site and your dependencies in one pass, with the fix committed straight into the pull request.
One account covers the code, the site and everything it depends on
For a code or infrastructure finding, a model writes the patch in an isolated sandbox, the rule that raised it re-checks the result, and it opens as a pull request your team reviews. Team plans only, paid in AI credits: 10 a month per seat on Team Basic, 20 on Team Advanced, more from £1 each.
Findings arrive as inline review comments with committable suggestion blocks, so a fix is one click inside the PR rather than a ticket in another tool.
Headers, TLS, CORS, XSS and injection surfaces are probed against the running site the way an outsider would reach them.
Exposed API keys and credentials are matched against the request they would actually authenticate, which is what keeps the list short enough to act on.
Advisories are resolved against the versions in your lockfile, so a flagged package is one you are genuinely exposed on.
Base images are checked for known advisories, and host discovery maps the subdomains and endpoints that are reachable from outside.
Continuous checks on the deployed site, so a certificate expiry or a header regression surfaces before a customer reports it.
Set up in an afternoon, not a quarter
- Connect
- Install the GitHub or GitLab app on the org and point CheckVibe at the repositories that ship to production. One installation covers the whole team.
- Scan
- The first pass runs the repo, the deployed site, the dependency tree and the container images together, then reports open findings in priority order.
- Fix in the PR
- From then on every pull request is reviewed automatically. Suggestions commit in place, and for anything the scanner cannot patch mechanically, AI AutoFix writes the fix, re-checks it, and opens it as its own branch.
What CheckVibe does not do
CheckVibe reads your repository and your dependency manifests, but it is not a whole-program static analysis engine. Teams with a dedicated security function usually keep one alongside it.
Every check is automated and non-destructive. It will not exercise business logic the way a human tester does, and it does not produce a signed pentest report.
The findings and their history are useful evidence when an auditor asks what you monitor, but CheckVibe does not issue or manage a certification.
See it run against your own stack
Thirty minutes on Google Meet. Bring a repository or a deployed URL and we scan it live, then walk through what comes back in priority order.
Questions teams ask first
Does CheckVibe work for a team that ships AI-generated code?
That is the case it was built for. Code written with Cursor, Claude Code, Copilot, Lovable, v0 or Bolt tends to ship faster than it gets reviewed, and the recurring gaps are consistent: credentials committed to the repo, missing row-level security on Supabase tables, permissive CORS, and absent security headers. CheckVibe checks the repository and the deployed site for exactly those, then puts the fix in the pull request so it lands in the flow the team already works in.
How long does it take to set up for a team?
An afternoon is typical. You install the GitHub or GitLab app on the organisation, select the repositories that ship to production, and the first scan runs immediately. There is no agent to deploy, no CI pipeline to rewrite and no build step to change. Pull request review starts on the next PR after the installation.
Does one installation cover everyone on the team?
Yes. A GitHub App is installed once per organisation, so every repository selected in that installation is covered and every teammate on the account sees the same findings. You do not connect each developer separately.
What does CheckVibe not do?
It is not a full static analysis or software composition analysis platform, it is not a penetration test, and it does not issue a compliance certification. It is an automated, non-destructive scanner covering your repository, your deployed site, your dependencies, your container images and your external attack surface. Teams that need a whole-program analysis engine or a human tester should keep those separately.
Do we need to give CheckVibe write access to our repositories?
No. Read access is enough for scanning and for review comments. Write access is a separate, opt-in permission, and it is only needed if you want AutoFix to open a branch or a pull request on your behalf. You can run the whole product read-only.
What happens on the demo call?
It is 30 minutes on Google Meet, run against something you actually operate rather than a canned fixture. You bring a repository or a deployed URL, we scan it live, and we walk through what comes back in priority order. If nothing meaningful comes back, that is a useful answer too and the call ends early.