AI wrote the code in 5 minutes. How many seconds to hack it?
Generative AI builds working features but leaves critical database leaks and exposed API keys. We diagnose your app and then quickly close the holes turnkey, without changing your product logic.
$ npx opsbalance-guard .
Is it really safe to launch your app?
Don't trust AI with your app's security. Enter your no-code app URL (Bubble, FlutterFlow) or a GitHub repo link below to run an express test.
Run a leak test
Enter a URL, a GitHub link or drop database files (.sql) here for analysis.
AI blind spots: what our test checks
Cursor and Claude think in isolated files — they don't see the database and API keys as a whole. We scan your app for the critical leaks typical of AI-generated and no-code code.
Exposed API keys
We look for forgotten private keys (OpenAI, Stripe, AWS) in the app's client side (JS bundles).
AI-code risks
We find hidden backdoors and authorization holes that AI copied from outdated libraries.
Database leaks
We check whether users can read or download other people's profiles because of default access rights.
AI prompt bypass
We test how easily a regular user can extract your chatbot's system prompt or customer data.
A vicious circle: why AI can't fix its own leaks
The mistake of 95% of vibe coders: copying an error report and feeding it back into Cursor or Claude to generate a “fix”.
The core issue: the AI assistant will write a quick visual patch. It hides the error on screen but leaves the database open. In 90% of cases this crutch breaks neighboring features. AI created these holes — it can't close them.
From diagnosis to rescue: how it works at OpsBalance
We don't just dump a list of logs. Our engineers manually close database leaks and configure API routes, guaranteeing full app security.
1. API key protection
Moving keys from client code to a secure backend and blocking unauthorized requests.
2. Code cleanup
Rewriting the risky JS/Python scripts produced by a neural network.
3. Database security
Setting strict database access rules at the Bubble, FlutterFlow or Supabase level.
4. Clean result
We hand you a ready solution. The architecture stays simple — keep writing code in Cursor without fear.
Logic consolidation for design handover
Preparing a technical integration kit for a specialized designer porting the security scanner logic.
OpsBalance Backend Guard: Integration Kit (v1.0)
This kit contains the functional logic for the Zero-Trust security scanner. It's designed for integration into a 2026 hi-tech interface by a specialized designer.
1. Required scripts
Include them in the <head> or at the end of the <body> in the correct order:
../../assets/js/opsbalance-guard-web.js(Scanner core)../../assets/js/web-scanner-ui.js(UI controller for the analysis simulation)
2. Resource locations
File paths relative to the project root:
- Bundle: /assets/js/opsbalance-guard-web.js
- UI script: /assets/js/web-scanner-ui.js
3. Required DOM elements (IDs)
The UI script expects these unique identifiers in your markup:
| ID | Type | Description |
|---|---|---|
scan-input |
HTMLInputElement |
A text input where the user pastes a URL or GitHub repository link. |
start-scan-btn |
HTMLButtonElement |
A button element that starts the audit process. |
scan-results |
HTMLElement |
A container for results (simulated logs and a copy-protected report). |
cta-after-scan |
HTMLElement |
A block (hidden by default) that shows the express-diagnostic and rescue-sprint offer. |
4. Visual states for layout
The UI script applies the following classes and expects matching styles:
- #completed-results — Generated inside
scan-resultson a successful scan. Contains copy-protection rules. - #scan-input-error — Caption block for input-format validation errors.
5. Designer instructions
- Use your 2026 hi-tech template.
- Place the field
scan-inputand the buttonstart-scan-btnin a prominent spot. - Apply the template's CSS styles but keep the specified element IDs.
- The logic is fully autonomous. Once the IDs are wired, the scanner works automatically.
The rescue process
We solve practical backend and API problems instead of generating endless development tasks.
The AI app looks ready
The interface is perfect, but the business logic hits the “complexity wall” and starts breaking.
A critical flow crashes
Authorization, data privacy or API costs spiral out of control. Development is blocked.
Rescue map
We find the exact point of architectural failure and assess how realistic and worthwhile a rescue is.
Rescue sprint
A 48-hour fix at a fixed price. One repaired flow or a clear verdict that a rebuild is needed.
FAQ: Frequently asked questions
Can I fix these vulnerabilities myself with prompts?
No. Local AI fixes cause regression errors in the architecture. AI can't see infrastructure risks. Our team does manual refactoring while guaranteeing the stability of current features.
How long does an audit and fix take?
The on-site express test takes 60 seconds. A full manual audit with turnkey closure of all critical vulnerabilities takes 24 to 48 hours, depending on the codebase size or the no-code app structure.
Can I keep coding with Cursor after your fixes?
Yes. We don't change how your app works or complicate the stack. We move protection to the architecture level, so you can keep developing the product with your usual “vibe coding” approach — but on a safe foundation.