> ai security scanner comparison

Best AI security scanner for vibe-coded apps

The best AI security scanner for a vibe-coded app depends on the risk you need to prove. Start with a URL-first public-surface scanner for launch blockers an outside visitor can observe: exposed files, source maps, missing headers, CORS, cookies, secret-shaped client strings, and logged-out API responses. Then pair it with code review or account-aware tests for authorization, tenant isolation, payment logic, and admin workflows.

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> scan map

What this scan should cover

What to choose first

Use the scanner that answers the launch question in front of you.

URL-first scanner for public exposure before sharing a staging or production link
Dependency scanner for known vulnerable packages in the repo or CI pipeline
Source review for auth, payment, webhook, and tenant logic
Account-aware testing for role boundaries and object-level access control

Selection criteria

A scanner is useful for vibe-coded apps when it can produce actionable evidence.

Checks the running app without needing repo access
Detects exposed files, source maps, client-side secrets, and anonymous API responses
Separates Supabase/Firebase public keys from actually dangerous service or data exposure
Exports findings in plain language a builder can fix in Cursor, Bolt, Lovable, or a repo

Where VibeCodeGuard fits

The right fit is public-surface launch evidence, not certification.

Paste a public URL and scan what a stranger can reach
Use the report to fix critical and high findings before launch
Rerun the same public checks after each fix
Escalate to code review or a pentest for account-specific and business-logic risk

> where vibecodeguard fits

Public-surface evidence before launch.

VibeCodeGuard is the URL-first scanner in the stack: it checks the deployed public surface of AI-built apps and returns severity-ranked evidence, fix guidance, and a retest loop before the app is shared.

Scan public URL

> limits

What a public scan cannot prove

It is not a full penetration test or compliance certification.
It does not replace SCA tools for dependency CVEs or secret scanning inside private repositories.
It cannot prove tenant isolation, payment entitlement, or role logic without account-aware context.

> sources

References used for this page

OWASP Web Security Testing Guide ↗Primary reference for web application testing methodology.
OWASP Application Security Verification Standard ↗Primary reference for verification areas that require app context.
OWASP API Security Top 10 2023 ↗Primary reference for API risks that public and account-aware scans should consider.
OWASP Secure Headers Project ↗Primary reference for browser security headers in public-surface scans.

> faq

Direct answers

What is the best AI security scanner for vibe-coded apps?

For launch readiness, start with a URL-first public-surface scanner that checks the deployed app for exposed files, source maps, client-side secrets, headers, CORS, cookies, and logged-out API responses. Pair it with source review and account-aware tests for deeper authorization and business logic.

Should an AI app scanner need source-code access?

Not for the first launch pass. Many launch blockers are visible from the public URL. Source-code access becomes important for dependency review, authorization rules, tenant isolation, payment logic, and privileged workflows.

How do I compare scanners for Cursor, Bolt, or Lovable apps?

Compare whether the scanner understands deployed web surfaces, reports exact evidence, avoids false positives on public-by-design keys, gives fix guidance a builder can apply, and supports retesting after changes.