Pillar Guide
Vibe Coding Security: The Complete Guide for AI-Generated Code
AI tools now write a large share of production code. They reproduce common patterns confidently, including common security mistakes. This is the Sherlock Forensics field guide to securing what your AI writes, drawn from 20 years of digital forensics and audit work.
Vibe coding is the practice of building software by prompting an AI tool rather than writing each line yourself. It ships product faster but introduces specific security risks because the AI does not know your threat model. The most common vulnerabilities are broken authentication, hardcoded secrets, missing input validation, SQL injection and missing rate limiting. Securing a vibe-coded application is a four-step discipline: write secure prompts, run automated checks at every commit, manually test authentication and authorization on every change and get a professional audit before a public launch. This guide links to detailed deep-dives on each topic.
What Vibe Coding Is
Vibe coding is software development driven by AI prompting. The human provides intent and judgment, the AI produces the code. This shifts the failure mode away from typos and syntax errors toward design decisions the AI cannot make for you: who is allowed to do what, where the trust boundaries are, which data is sensitive and how the application will be attacked. Sherlock Forensics has audited dozens of vibe-coded applications since 2024. The same handful of mistakes appear in nearly every one.
Deep-dive: What Is Vibe CodingCommon Vulnerabilities in AI-Generated Code
The top three findings in every Sherlock Forensics vibe-code audit are broken authentication, hardcoded secrets and missing input validation. AI tools default to permissive code: they expose every endpoint, accept every input shape, log every value for debugging and skip the authorization checks that a human developer would add reflexively. The result is code that works for the happy path and fails open under any meaningful attack. The deep-dive lists the full vulnerability taxonomy with concrete examples.
Deep-dive: Vibe Coding Security RisksTesting Your Code
Manual review of AI-generated code is slow and unreliable. Automated checks scale: linting catches dead code paths, dependency scanners catch outdated packages, secret scanners catch committed credentials, static analysis catches injection patterns. Beyond the tooling, the highest-leverage technique is the security review prompt. Pasted into your AI tool after each significant change, a well-formed prompt asks the AI to find its own mistakes. It catches roughly half of what a paid auditor would catch and costs nothing.
Deep-dive: Security Prompts Every Vibe Coder NeedsSecuring Your Workflow
One-off audits do not scale. A secure vibe coding workflow embeds security into every step: a secure prompt template at the start, a security review prompt before every commit, automated secret scanning in pre-commit hooks, dependency audits before every deploy, manual authentication testing on every auth change. The workflow is more important than the tools. The deep-dive walks through what a typical secure development workflow looks like for a vibe-coded application.
Deep-dive: How to Vibe Code SecurelyGetting a Professional Audit
For any application that handles payments, personal data, authentication or business-critical workflows, a professional security audit is the difference between shipping confidently and getting breached. Sherlock Forensics audits vibe-coded applications specifically: we know the failure modes, we have the prompt templates that reveal them and we have the forensic background to model how an attacker would actually exploit each finding. A typical audit takes 1 to 3 business days and produces a remediation-ready report.
Deep-dive: Vibe Code Audit, What to ExpectEvery Post in This Guide
The definition and where AI coding fits in the software development lifecycle. Vibe Coding Security Risks
The full taxonomy of vulnerabilities found in AI-generated code. Security Prompts Every Vibe Coder Needs
Paste-ready prompts that catch broken auth, secrets and injection flaws. How to Vibe Code Securely
The end-to-end workflow for shipping secure AI-generated code. Vibe Coding Prompts for Secure Development
Starter prompts and templates for security-first AI development. Is Your Vibe-Coded Login Page Actually Secure?
Authentication is the #1 weakness. How to verify yours. Your Cursor App Is Probably Leaking Env Vars
The single most common Cursor mistake and how to catch it. I Audited My Own Vibe-Coded App
A real-world audit walkthrough with the findings. Vibe Code Audit: What to Expect
The professional audit process, scope and deliverables. Vibe-Coded Disaster Recovery
Backup, rollback and recovery patterns for AI-generated codebases. AI Code Audit Checklist 2026
The full checklist used in Sherlock Forensics audits.
Get a Professional Vibe Code Audit
Standard Sherlock Forensics audits start at $1,500 CAD. Quote within 1 business day of receiving codebase access. Built and delivered by CISSP, ISSAP and ISSMP certified examiners with 20 years of digital forensics experience.
Frequently Asked Questions
What is vibe coding?
Vibe coding is the practice of building software by prompting an AI tool (Cursor, Copilot, ChatGPT, Claude) to generate the code rather than writing it yourself line by line. The AI handles syntax, framework boilerplate and most of the typing. The human guides the direction, reviews the output and ships it. Vibe coding accelerates prototyping but introduces specific security risks because the AI does not understand your threat model.
Is vibe-coded code less secure than hand-written code?
Vibe-coded code is not inherently less secure than hand-written code. The risk profile is different. AI tools confidently reproduce common patterns including common security mistakes. They produce code that looks correct but skips authorization checks, leaks secrets via console.log, hardcodes API keys in committed files and uses outdated cryptographic patterns. Hand-written code has different mistake patterns. The fix is the same: review, test and audit.
What are the most common vulnerabilities in AI-generated code?
Broken authentication and authorization, hardcoded secrets in committed source, missing input validation, SQL injection in raw queries, insecure direct object references, missing rate limiting on auth endpoints, debug logging that leaks PII or tokens, outdated dependencies, exposed admin interfaces and broken access control on file upload endpoints. The first three account for roughly 70% of what we find in vibe-code audits.
How do I make my vibe coding workflow more secure?
Run a security review prompt before every commit. Use a pre-commit hook that greps for AWS keys, Stripe keys and other obvious secret patterns. Keep secrets in environment variables and never in source. Pin dependencies and run npm audit or pip-audit weekly. Test the auth flow manually on every login change. Pair these with a one-off professional audit before any public launch.
Should I get a security audit on my vibe-coded app?
Yes if it handles payments, personal data, authentication or business-critical workflows. The cost of an audit is a small fraction of the cost of a breach. Sherlock Forensics offers code security audits specifically for AI-generated codebases. A typical engagement reviews authentication, data handling, dependency hygiene and infrastructure exposure across 1 to 3 days.
What if my vibe-coded app has already been breached?
Stop the bleeding first: rotate every exposed credential, suspend the affected service if you can, preserve logs before they roll off, and document the timeline. Then call a forensic examiner. Sherlock Forensics provides 24-hour incident response specifically for vibe-coded apps. Read our incident response playbook for vibe-coded apps.
Which AI coding tools are most secure?
Tool choice matters less than how you use it. Cursor, GitHub Copilot, Claude Code and ChatGPT all produce code with similar vulnerability patterns. The variable is the prompt and the review. A skilled developer using ChatGPT with a security-first prompt template produces more secure code than an unskilled developer using the most expensive enterprise tool. Process beats product.
Can I trust an AI to audit my AI-generated code?
An AI security review catches roughly 40 to 60% of common vulnerabilities and misses the rest, particularly business-logic flaws and authorization issues. AI-only audits are useful as a first pass but not as a final security gate. The remaining vulnerabilities require a human with context: what does this app actually do, who are the realistic attackers and what failure modes matter most. A human-led audit catches what the AI misses.
How long does a vibe code audit take?
A typical Sherlock Forensics vibe-code audit takes 1 to 3 business days for an application up to roughly 10,000 lines of code. We review authentication flows, data handling, dependency hygiene, secret management, infrastructure exposure and front-end client-side risks. The deliverable is a written report with severity-rated findings, exploit examples and remediation code. Larger or more complex applications scale linearly from there.
What does a vibe code audit cost?
Standard Sherlock Forensics vibe-code audits start at $1,500 CAD for a focused single-application review. The Quick Security Audit covers authentication, data handling and dependency hygiene over 1 business day. Larger or compliance-driven engagements price by scope. We do not charge by line of code. Quote within 1 business day of receiving access to the codebase.