Launch your AI-built SaaS with confidence.
Cursor, Claude Code, Lovable, and Bolt help you build fast. They also ship the same production mistakes, quietly. We review your application before launch so you know exactly what to fix.
NDA by default · Read-only access · 48h turnaround
Production Readiness Report
acme-app · reviewed Jul 14
Readiness score
/ 100
Findings by severity
- Row-Level SecurityCritical
- Public Storage AccessWarning
- API Key ExposureWarning
- Authentication FlowPassed
Tested on our own products, then on a first real client
AI helps you ship faster.
It also helps you ship vulnerabilities faster.
Broken RLS
Row-level security rules that quietly let any user read another user's data.
Leaked API Keys
Secret keys committed to your repo or exposed straight to the browser.
Public Storage
File buckets left open, indexable, and downloadable by anyone.
Weak Authentication
Login flows with no rate limiting, weak sessions, or missing checks.
Exposed Secrets
Environment variables and tokens visible in client-side bundles.
Prompt Injection
Unvalidated inputs that let users hijack your AI's instructions.
Traditional security reviews miss AI-built apps.
Pentest firms are built for mature software and compliance checklists. AI-built applications fail differently, and much earlier. We focus specifically on the mistakes AI coding assistants repeatedly introduce, not a generic vulnerability list.
A complete methodology, not a simple scan.
Every review covers six critical categories, combining automated tooling with manual testing.
Row-Level Security (RLS)
We map the tables your app exposes through the API, then attempt cross-account access between two real test accounts on each one to confirm real data isolation.
Secrets management
Source code and the shipped JavaScript bundle are analyzed to catch any key or token exposed on the client side.
Storage permissions
Each storage bucket is tested with and without authentication to identify unintended access.
Authentication flows
Login, password reset, and session handling are tested, checking for rate limiting on repeated attempts.
API surface
We enumerate your exposed endpoints and test them unauthenticated, then again with a lower-privileged role, prioritized by what actually touches user data.
Third-party integrations
Webhook signature validation (Stripe and others) is checked to prevent forged requests.
Launch with confidence.
Submit your project.
Share your repo or staging URL. It takes less than five minutes.
We review your application.
Automated scanning plus a manual pass from someone who ships AI-built products themselves.
Receive a prioritized action plan.
Clear, ranked fixes your team can act on before launch, without jargon.
A report you'll actually understand.
Not a wall of scanner output. A clear, prioritized document built for founders, plus a walkthrough call to talk it through.
Video Walkthrough
A 30-minute call to walk through every finding with you.
Priority Roadmap
Real vulnerabilities, found on real projects.
Three anonymized examples of what we actually find, not theoretical scenarios.
Complete bypass of row-level security rules
Supabase RLS policies were misconfigured, letting any authenticated user read and modify other users' transaction data through direct REST API calls, without ever going through the UI.
Business impact
Exposure of financial data for every user on the platform.
Authentication token exposed in URL parameters
A JWT was passed as a query parameter instead of a secure header, ending up logged in plain text in server logs and browser history.
Business impact
Risk of session hijacking for anyone with access to logs or browser history.
Public storage bucket with no access restrictions
Documents meant for internal use only were publicly accessible via a predictable URL, with no authentication required.
Business impact
Exposure of confidential company documents to anyone who knew or guessed the URL.
Anonymized examples from real engagements. Details modified to protect client confidentiality.
Built by SaaS founders.
I build my own AI products. I know the shortcuts.
I know the mistakes AI coding tools still make.
I review products like a founder, not an auditor.
I don't start from a generic checklist. Every engagement sharpens my methodology: I document every mistake I find across Supabase and Next.js stacks, and the AI coding tools founders actually use today (Cursor, Claude Code, Lovable, Bolt, v0).

Téo Brondel
Founder, Validra
Founder of Validra. I've been building SaaS products for over two and a half years, long enough to see, firsthand, every security issue AI quietly introduces into code. Fixing them before launch became non-negotiable.
48h
Average scan turnaround
Live
New audits underway right now
6
Critical categories checked
Systematic severity rating
Every finding is ranked by real business impact, not just a technical score.
Documented methodology
Automated scanning plus manual testing of authentication, RLS, APIs, and storage.
Simple, honest pricing.
No seats, no contracts, no enterprise sales calls. Not sure where to start? Most founders begin with the Quick Check.
Quick Check
A fast expert look at your app before you commit to a full review.
- Expert first look at your riskiest surfaces (auth, data access, secrets)
- A plain answer: ready, not ready, or needs a full Review
- Delivered within 24 hours
Production Readiness Scan
Automated scan plus a manual spot-check by an engineer.
- Everything in Quick Check
- Manual spot-check by an engineer
- Priority findings summary
- Delivered within 48 hours
Production Readiness Review
Complete review. Business impact. Full report. Call included.
- Everything in the Scan
- Full manual code review
- Business impact analysis
- Prioritized roadmap + PDF report
- 30-minute walkthrough call
- Delivered within 5 business days
Good questions.
Yes. We sign an NDA before we look at a single line of your code.
25 mistakes AI coding tools still make in production.
6 categories, 25 vulnerabilities, freely available
Ready to launch with confidence?
Get a clear, prioritized report before your next users show up.