Security Audits for AI-Generated Apps

Built your app with Cursor, v0, or Bolt? We find the security vulnerabilities AI tools miss—before your users do.

UK-based team
Response within 24 hours
50+ apps audited

AI writes code fast. It doesn't write it securely.

AI coding tools are brilliant at generating functional applications, but they consistently produce the same categories of security vulnerabilities. These are the issues we find in almost every audit.

Authentication Flaws

JWT misconfigurations, session handling, exposed secrets

critical

Data Exposure

Missing RLS policies, unprotected API routes, SQL injection

high

Configuration Issues

Environment variables, CORS, security headers

medium

How It Works

No calls. No quotes. Just results.

1

Choose & Pay

Select your package and checkout online. No sales calls required.

2

Share Your Code

Grant repo access or upload a ZIP. All code kept confidential.

3

Get Your Report

Receive a detailed security report with prioritised fixes.

Simple, Transparent Pricing

Choose the audit depth that matches your needs. Pay online and get your report fast.

Security Scan

£297 /one-time
Delivered in 3 business days

A focused security review of your AI-generated codebase covering the most critical vulnerability categories.

Best for:

  • MVPs and prototypes before first launch
  • Solo founders who need a quick sanity check
  • Side projects handling user data
  • Apps built in a weekend hackathon

What's included:

  • Authentication and authorisation review
  • API route security check
  • Environment variable and secrets audit
  • Database security basics (RLS, query safety)
  • Summary report with prioritised findings
  • Up to 1 follow-up question via email
Most Popular

Full Audit

£997 /one-time
Delivered in 7 business days

A comprehensive security audit covering your entire codebase, infrastructure configuration, and data handling practices.

Best for:

  • Startups preparing to launch publicly
  • Apps that handle payments or sensitive user data
  • Teams who have built with AI tools and want confidence before scaling
  • Products seeking their first paying customers

What's included:

  • Everything in Security Scan
  • Full codebase review (no file limit)
  • Infrastructure and deployment configuration review
  • Third-party integration security check
  • Data flow and storage analysis
  • OWASP Top 10 vulnerability assessment
  • Detailed report with code examples and fix guidance
  • 30-minute video walkthrough of findings
  • Up to 5 follow-up questions via email

Production Ready

£2,997 /one-time
Delivered in 10-12 business days

End-to-end security hardening that takes your AI-generated codebase from prototype to production-grade, with hands-on fixes included.

Best for:

  • Funded startups preparing for public launch
  • Apps processing payments or handling regulated data
  • Founders who want fixes done, not just a list of problems
  • Teams without a dedicated security engineer

What's included:

  • Everything in Full Audit
  • Hands-on implementation of critical and high-severity fixes
  • Authentication and authorisation hardening
  • Database security hardening (RLS policies, query safety, backups)
  • Environment and secrets management setup
  • Rate limiting and abuse prevention implementation
  • Security headers and CORS configuration
  • Error handling and logging improvements
  • Pre-launch security checklist verification
  • 60-minute video walkthrough and Q&A session
  • 30 days of follow-up support via email

AI Tools We Audit

Works with any AI-generated codebase

What Our Clients Say

Real feedback from founders who shipped with confidence.

“I built my entire SaaS with Cursor in two weeks and thought it was ready to launch. The audit found that any logged-in user could access every other user's data through the API. That would have been a nightmare if real customers had been on the platform.”

James K.

Solo Founder, TaskFlow

Full Audit
“We used Lovable to prototype our booking platform and the security scan caught three critical issues with our Supabase setup in the first pass. Our storage buckets were completely open. Genuinely scary stuff that we would have shipped without a second thought.”

Priya M.

CTO, BookedIn

Security Scan

Frequently Asked Questions

Everything you need to know about our security audit service.

What is a vibe code audit?
A vibe code audit is a security review specifically designed for codebases built with AI coding tools like Cursor, v0, Bolt, Lovable, Replit, and GitHub Copilot. These tools generate functional code quickly, but they consistently produce the same categories of security vulnerabilities. Our audits focus on finding and fixing these issues before they reach production.
Why do AI-generated codebases need a security audit?
AI coding tools are trained to produce code that works, not code that is secure. They routinely generate exposed API keys, missing authentication checks, overly permissive database policies, and insecure data handling patterns. These issues are not obvious from the outside -- the app looks and feels complete -- but they can lead to data breaches, unauthorised access, and other serious problems.
Which AI coding tools do you support?
We audit codebases built with any AI coding tool, including Cursor, v0, Bolt, Lovable, Replit, and GitHub Copilot. We also review code from ChatGPT, Claude, and other LLMs used for code generation. If you have used an AI tool not listed here, get in touch and we will confirm whether we can help.
Do I need to know how to code to use your service?
No. Many of our clients are non-technical founders, designers, and product managers who have built apps using AI tools without a traditional programming background. Our reports are written in plain language with clear prioritisation, so you know what needs fixing and how urgent each issue is.
How is this different from automated security scanning tools?
Automated scanners check for known vulnerability patterns in code syntax, but they miss the architectural and logic issues that AI tools create most often. Things like incorrect RLS policies, broken authorisation flows, and insecure data exposure require human understanding of what the application is supposed to do. Our audits combine manual review with automated tooling for thorough coverage.