AI-built software
We review and fix the backend your team built with AI. We look at what your API actually exposes, not just what the code says.
Book a meeting20+
control points, at least
36%
of AI assistant users wrote code vulnerable to SQL injection, versus 7% without it
Stanford, ACM CCS 202345%
AI coding tasks with a known security flaw
Veracode, 2026The calls return data and the app works. That is the model. What you do not see is what else that API answers, and to whom.
Routes that answer without checking permission
Responses that return fields nobody asked for
Personal data stored in plain text in the logs
Missing security headers
Shall we talk about your case?
A 30-minute meeting to see what you have and what to review first.
The screen only shows what the design asks for, but the API may be handing over much more. An attacker does not use your app: they call your API directly.
Emails, phone numbers or internal data in responses that look harmless.
Admin functions open to anyone.
Personal data in logs where it should not be.
What we do
What you receive
Review a new system once before it ships, or keep everything under control every three months.
Before production
Send the app, website or database you built with AI and get every gap with its fix before you deploy.
Every three months
We review your code, servers and data platforms each quarter: broken flows, idle users and costs.
We review Python APIs (FastAPI) and the server that publishes them, together with the app or website that uses them.
Yes. Every gap comes with its fix, and we apply it together with your team once you approve.
No. We review what your API and its server expose and protect; we do not simulate an attack or issue certifications.
Tell us what worries you. In the meeting we explain how we solve it.