# Security Audit Prompt for AI-Built MVPs

> A three-phase prompt for auditing security vulnerabilities in fast-shipped MVPs

This structured prompt instructs an AI model to act as a security expert and review an MVP codebase prior to release. It breaks the audit down into a codebase scan, a risk analysis with targeted remedies, and minimal code fixes presented as diffs. It prioritizes common vulnerabilities like exposed secrets, missing auth checks, and broken access controls.

## The prompt

"I need you to act as a security expert and do a full audit of the codebase. Your goal is to flag high-impact vulnerabilities and help fix them with minimal changes.

Follow this 3-phase approach:

Phase 1: Codebase Scan

Go through the entire repo. Focus especially on:

- Auth flows

- API endpoints

- DB queries

- Env variables and secrets

- User input handling

Flag anything risky with:

- File name and line numbers

- Clear explanations of what's wrong

- Priority level (Critical, High, Medium, Low)

Phase 2: Risk Analysis + Fix Plan

For every issue:

- Explain what the vulnerability is

- Describe how it can be exploited

- Recommend the smallest fix needed

- Explain how the fix improves security

Avoid overengineering. Focus on practical fixes that make the code safer without breaking anything.

Phase 3: Secure Fixes

- Make minimal changes

- Show a before/after diff

- Verify the fix works and doesn't introduce anything new

- Flag anything that needs manual testing

Focus Areas to Prioritize:

- Leaked API keys or credentials

- Missing rate limits

- Broken or bypassable auth

- Insecure direct object references (IDOR)

- Missing server-side validation

- Poor error handling that leaks info

- Sensitive data being exposed unnecessarily

Return the final report as a markdown list I can share with my team.

Be precise. Be realistic. Prioritize impact."

## What it is for

- Audit an AI-generated codebase for common security oversights before launch
- Identify hardcoded API keys and insecure database queries across a repository
- Generate minimal before-and-after code diffs to patch vulnerabilities without breaking features
- Produce a prioritized markdown security report to share with team members

## Key points

- Three-phase workflow covering scanning, risk analysis, and patch generation
- File and line-number vulnerability tracking with priority ratings
- Targeted checks for auth flows, API endpoints, secrets, and user inputs
- Emphasis on minimal-change fixes and diffs rather than full refactors
- Checklist for common MVP security flaws including IDOR and missing rate limits
- Markdown-formatted report output suitable for team reviews

## Pricing

Free

## Details

- Type: Prompt
- Category: [Development](https://xiry.app/topics/development.md)
- Topic: [AI Prompts](https://xiry.app/topics/ai/ai-prompts.md)
- Open source: no
- Platforms: Web, Command line, other
- For: Solo founders, rapid prototypers, and developers shipping MVPs
- Tags: prompt, security, code audit, mvp, appsec

## Why it was saved

- [@PrajwalTomar_, 15 April 2025](https://x.com/PrajwalTomar_/status/1912122003118522746): Vibe-coded MVPs often skip security checks; this prompt gives a structured 3-phase audit with prioritized, minimal-change fixes and a shareable report.

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Updated 11 October 2026. Page: https://xiry.app/resources/security-audit-prompt-for-ai-built-mvps

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