Our patent-pending algorithm AI security MW for code parsing slices your app into routes with execution and auth logic, each in its own digestible context slice, allowing frontier models to review each route for vulnerabilities.
TLDR: Let us show you the vulnerabilities in your code.
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Indexes every method and class across Ruby, Python and JS / TS, and finds every route in Rails, Django, FastAPI, Express, NestJS and more.
Follows each route through its auth filters, middleware and guards into the handler and the calls that read or write data, and packs that path into its own context slice.
A frontier model reviews each slice on its own: is the requested object tied to the current user? Every flag comes with evidence and a fix.
Only the code that runs for this request goes to the model, in the order it runs:
GET /orders/:id → OrdersController#showrouteApplicationController#authenticate_user!auth filterOrdersController#showhandlerOrder.find(params[:id])data access, not scoped to current_userBecause each slice is small and self-contained, the codebase's size doesn't limit the review: every route gets the model's full attention.
A signed-in user changes an ID in the URL and gets another customer's invoice, order or account. Nothing crashes and no pattern matches: the bug is a permission check that isn't there. That's BOLA / IDOR, the #1 risk in the OWASP API Security Top 10.
We inventory every route, collect the shared middleware and the handler code that governs the object ID, and review access for that route alone. Then the next route, until the whole inventory is covered.
This is the actual trace for one route: the handler, every call it makes with its file and lines, and the source of each filter on the way. That slice, and nothing else, is what the model reviews, so a large codebase never crowds out the code that matters.
Each candidate names the auth it passed, the check that's missing, nearby checks that hint at intent, and a concrete next step to confirm it, so your team spends time on real issues.
