Free security audit of your AI-built codebase. We'll show you exactly which vulnerabilities exist in your Cursor, Bolt, Lovable, or Replit code—before you launch.
A Vibe Code Audit is a professional security and production-readiness review of AI-generated code conducted by experienced engineers before the application is launched to production. The audit manually traces code logic to find vulnerabilities, data exposure risks, and operational gaps that automated scanners miss—delivering a written report with prioritized fixes specific to AI coding tools like Cursor, Bolt, Lovable, and Replit.
— Beesoul LLC, California-based software development agency with 600+ projects audited and 4.9★ Clutch rating
AI-generated code has democratized software development, but the security risks are staggering. Here's what the data reveals:
You built your app in Cursor, Bolt, or Lovable in a weekend. It works. Users are signing up. But now you're reading articles about AI code vulnerabilities and wondering: "Is my app a security disaster waiting to happen?"
of AI-generated code contains a security vulnerability
Based on analysis of 500+ AI-built applications
Articles about exposed API keys, SQL injection, missing RLS policies. Now every login feels risky and you're losing sleep over what might be lurking in your codebase.
You're not a security expert. You don't know which files to check or what patterns to search for. Reading through thousands of lines of AI-generated code is overwhelming.
$5K-$30K for a proper security audit. You're bootstrapped, pre-revenue, or running on a tight budget. That's a significant chunk of your runway.
You're talking to investors, launching features, or scaling. You need answers now, not in 4 weeks. Every day without answers is a day of risk.
These are the most common vulnerabilities in AI-generated codebases. If your app uses authentication, a database, or payment processing, at least one of these likely exists:
API keys, database credentials, or authentication secrets hardcoded in frontend code or committed to Git. Anyone can view your source and extract them.
Users can access each other's data by changing URL parameters or API calls. Found in 70% of Lovable apps we audit. Violates GDPR, HIPAA, SOC 2.
User input directly concatenated into database queries. Attackers can read, modify, or delete your entire database. Common in AI-generated SQL.
Making 1000 database calls when 1 would work. Your app feels fast with 10 users but dies at 100. AI tools don't optimize for performance.
Admin endpoints accessible without proper auth checks. Anyone who finds the URL can delete users, modify settings, or export data.
⚠️ Real Example: A Bolt-built SaaS app we audited had all 5 of these issues. The founder didn't know until a beta user emailed saying "I can see everyone's data." Our audit prevented a potential GDPR lawsuit.
A simple 3-step process. No sales calls. No credit card. Just a detailed security report delivered in 2-3 business days.
Share your GitHub repo (private or public) or upload a zip file. Tell us which AI tool you used (Cursor, Bolt, Lovable, Replit, etc.). We'll sign an NDA if needed.
Our senior engineers manually trace your code logic, checking 18 categories across security, database design, performance, and production-readiness. No automated scanners—real human review.
Receive a written report with every finding, severity rating (Critical/High/Medium/Low), specific file locations, code examples, and fix recommendations. Plus a prioritized roadmap.
We'll sign a mutual Non-Disclosure Agreement (NDA) before reviewing your code. Your intellectual property stays yours. We delete all code files 30 days after the audit unless you become a client.
Get Your Free Audit NowWe check 18 categories. Here are the 4 most critical areas where AI-generated code typically fails:
We scan for exposed secrets, SQL injection, XSS vulnerabilities, authentication bypasses, and CSRF weaknesses. We manually trace auth flows to find logic flaws automated scanners miss.
Row-Level Security (RLS) policies are critical for multi-tenant apps. We verify users can't access each other's data and check for missing permissions, insecure direct object references, and data leakage.
AI tools generate working code, but rarely optimized code. We identify N+1 queries, missing indexes, inefficient algorithms, and architectural bottlenecks that will kill performance at scale.
Beyond security, we check if your app is ready for real users: error handling, logging, monitoring, environment configuration, backup strategies, and deployment architecture.
The audit is 100% free. No credit card. No sales call. Just submit your code and get a detailed report in 2-3 days. If we find nothing, great. If we find critical issues, you'll know exactly what to fix.
Get Your Free Audit NowYou could try to audit your own code. Here's why that rarely works for non-technical founders:
| Factor | DIY Security Check | Beesoul Free Audit |
|---|---|---|
| Cost | Free (your time) | $0 (no credit card) |
| Expertise Required | High. You need to know security patterns, database design, and performance optimization. | None. We explain findings in plain English. |
| Coverage | Surface-level. You'll catch obvious issues but miss context-specific vulnerabilities. | 18 categories checked. Manual code tracing by senior engineers. |
| Time Investment | 10-20 hours to learn security basics and audit your code. | 5 minutes to submit. Report in 2-3 days. |
| False Positives | High. Automated scanners flag non-issues. You waste time investigating. | Zero. Human review = only real vulnerabilities. |
| Prioritization | None. You don't know what to fix first. | Severity ratings + prioritized roadmap. |
| Fix Guidance | Generic Stack Overflow answers. May not apply to your stack. | Specific code examples with fix recommendations. |
Whether you used Cursor, Bolt, Lovable, or prompting ChatGPT directly—we've audited them all. Each tool has its own vulnerability patterns. We know what to look for.
Full codebase audits for Cursor-built apps
Security review of Bolt-generated stacks
RLS & Supabase security checks for Lovable apps
Production-readiness review for Replit projects
Audit for Claude-generated prototypes
Frontend security & performance review
Copilot-assisted codebase audits
Security review for Tabnine-built code
If any of these apply to you, get an audit before you launch or scale. The risks compound with every new user.
Public launch, Product Hunt, or paid marketing campaign planned. Once you're live, vulnerabilities become public. Audit before the crowd arrives.
Investors will ask about security. A clean audit report shows due diligence. A data breach mid-raise kills your valuation.
Real users = real data = real liability. If someone can access others' data, you're one angry user away from a GDPR complaint.
You showed your code to a technical friend or hired a contractor, and they raised red flags. Get an objective audit to know what's actually broken.
Stripe, PayPal, or any payment integration means you're handling financial data. PCI compliance and fraud prevention require secure code.
Before handing off your codebase to a new hire or agency, know what needs fixing. It's easier to onboard someone with a clean audit roadmap.
If you built your app with AI tools and you're not a professional developer, this audit is for you.
How a free audit prevented a £3M lawsuit
A UK-based financial crime compliance consultancy built an internal case management tool using Lovable. The app stored sensitive client data (bank transactions, suspicious activity reports, PII of financial crime suspects). They planned to launch to 50 consultants across 3 offices.
The founder immediately paused the rollout. We fixed all 5 critical issues in 12 days: implemented RLS policies, added audit logging, removed PII from API responses, and enforced MFA. The app launched 2 weeks later—fully compliant and secure.
"The audit saved our business. If we'd launched with those RLS gaps, a single disgruntled employee could have leaked client files. We'd have been sued into oblivion and lost our regulatory license. Beesoul found issues in 48 hours that we'd never have spotted."
— Founder, FinCrime Consultants
Real feedback from founders who got free audits before launching their AI-built apps.
"I built my SaaS in Lovable in 3 days. I was so proud. Then Beesoul's audit found 11 security issues, including missing RLS policies that would've let users see each other's data. I almost launched a GDPR violation. The audit was free and saved me from a lawsuit."
"I'm not technical. I used Bolt to build an e-commerce store. Beesoul found exposed API keys in my frontend code and SQL injection vulnerabilities in the checkout flow. They explained everything in plain English and told me exactly how to fix it. I hired them to clean it up."
"The audit report was incredibly detailed—specific file paths, severity ratings, and code examples showing exactly what was wrong. I'd read articles about vibe code risks, but I didn't know where to start. The free audit gave me a roadmap. Worth way more than $0."
Beesoul has audited and transformed 600+ AI-built apps. Here are a few recent projects:
Healthcare Marketplace
Challenge: HIPAA compliance gaps in Lovable-built patient portal
Solution: Implemented PHI encryption, audit logging, and access controls
✓ HIPAA Compliant ✓ Zero Breaches ✓ Launched in 3 Weeks
Mental Health Platform
Challenge: Cursor-built app with exposed session tokens
Solution: Fixed auth vulnerabilities, added secure token rotation
✓ 8 Critical Issues Fixed ✓ Production-Ready in 2 Weeks
Marketing Automation SaaS
Challenge: Bolt-built app with N+1 queries killing performance
Solution: Database optimization, caching, and query refactoring
✓ 85% Faster Load Times ✓ Scaled to 5K Users
Hospitality Booking Platform
Challenge: Payment processing security in Replit-built app
Solution: Stripe integration hardening, PCI compliance fixes
✓ PCI Compliant ✓ $50K MRR Reached
Wellness E-commerce
Challenge: SQLi vulnerabilities in customer search
Solution: Parameterized queries, input validation, rate limiting
✓ Zero SQL Injection Risk ✓ SOC 2 Audit Passed
We've audited 600+ AI-built apps. We know every vulnerability pattern, every AI tool quirk, and exactly what breaks at scale.
No jargon. No technical gatekeeping. We explain findings in terms of business risk: "Users can see each other's payment history" not "Missing RLS on transactions table."
Automated scanners miss context. We manually trace your code logic to find issues that only a human engineer would catch—like business logic flaws and AI-specific anti-patterns.
Cursor tends to expose secrets. Bolt over-fetches data. Lovable skips RLS. We've audited hundreds of apps from each tool and know their specific vulnerability patterns.
4.9★ Clutch rating. California-based team. We've seen every edge case, every compliance framework, and every way AI code can fail. Your audit is in expert hands.
If you're worried about security, here are your realistic options. The table shows why most founders choose option 3:
| Factor | DIY Learning | Automated Scanner | Beesoul Audit |
|---|---|---|---|
| Cost | Free (time investment) | $50-200/month | $0 (free audit) |
| Time to Results | 2-4 weeks to learn + audit | Instant (but noisy) | 2-3 business days |
| False Positives | High (you'll over-worry) | Very high (50-70%) | Zero (human review) |
| Coverage | Surface-level only | Syntax patterns only | 18 categories, manual code tracing |
| Finds RLS Issues? | No (requires DB expertise) | No (context-specific) | Yes (we check every policy) |
| Finds Logic Flaws? | Maybe (if you're lucky) | No (can't understand logic) | Yes (we trace auth flows) |
| Prioritization | None (you guess) | Generic severity (often wrong) | Risk-based roadmap |
| Fix Guidance | Generic blog posts | None (just flags issues) | Specific code examples + recommendations |
Before you get a full audit, use this quick self-assessment to estimate your risk level. Answer 10 questions to see if your app is safe to launch.
100% free. No credit card. No sales pitch. Just a detailed security report in 2-3 days showing exactly what's broken and how to fix it.
Get Free Audit ReportThe security audit is completely free. If you want us to fix the issues we find, we offer optional transformation services.
No credit card required
If the audit reveals issues you can't fix yourself, we offer optional paid services to clean up your code and make it production-ready:
Note: The audit is free with no obligation. We never pressure you to buy transformation services. If you want to fix the issues yourself, the audit report gives you everything you need.
Read our in-depth guides on securing AI-generated codebases:
Everything you need to know about auditing AI-generated code: what to check, common vulnerabilities, and how to fix them before launch.
Read Article →
Row-Level Security is critical for multi-tenant apps. Learn why AI tools skip it and how to implement proper data isolation in Supabase.
Read Article →
We audited 200+ apps built with popular AI coding tools. Here's what each tool gets right (and wrong) about security.
Read Article →No credit card. No sales call. No obligation. Just a detailed security report showing exactly what's broken in your AI-built codebase—delivered in 2-3 business days.
📧 Or email us: info@beesoul.co
You've already done the hard part — validating your idea and building something that works. Let's turn it into a product your users can trust and your business can scale.
