Built an app with Lovable, Bolt, or v0? Check its security before you publish
AI tools ship a working app in hours — but recent studies show a large share of the generated code ships with security flaws.
Audits published in 2025 and 2026 found a worrying pattern: a significant fraction of AI-generated code contains vulnerabilities — from API keys exposed in the front end to databases accessible without authentication. A recent investigation identified more than 2,000 apps built with AI tools exposed on the open web, leaking personal and corporate data.
The reason is simple: the tool optimizes for "it works," not "it survives an attack." And if you don't code, you have no way to review what was generated. The most common mistakes are well known and detectable: sensitive files published alongside the site (.env, .git), missing security headers, unprotected cookies, and secrets embedded in the JavaScript.
Before you announce your app, run an automated security scan. It flags exactly what's exposed — and on ecoa, it generates a ready-to-paste fix prompt for your AI tool, so you can close the hole without needing to understand the code.
Frequently asked questions
- Are AI-built apps (Lovable, Bolt, v0) secure?
- Not by default. Generation tools optimize for the app working, not for surviving an attack, and audits published in 2025 and 2026 found vulnerabilities in a significant fraction of generated code. The most common mistakes are well known and detectable by an automated scan: .env and .git files published alongside the site, missing security headers, unprotected cookies, and API keys embedded in front-end JavaScript.
- How do I check the security of an AI-built app without knowing how to code?
- Run an automated scan from the public URL, which requires no reading of the code. It flags what is exposed and ranks it by severity. On ecoa the initial check is free and requires no signup, and each finding comes with a ready-to-paste fix prompt for your AI tool.
- What can an external scan not detect?
- Authorization logic flaws (one user reaching another user's data by changing an id) and secrets in the source code or Git history. Both require repository access or authenticated testing with the app owner's permission.