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Optimization & Quality

Vibe Coded Fast. Now Make Sure It's Safe.

AI coding tools help you ship in days, not months. But they also skip the checks a senior engineer would never miss. We audit AI-generated codebases for exposed secrets, broken auth, and LLM-specific attack surfaces before you scale, fundraise, or sign an enterprise deal.

48h
FIRST FINDINGS
4
AUDIT DOMAINS
10+
AI ATTACK VECTORS CHECKED
Read-only accessNo vendor lock-inNDA-friendly

— Vibe Code Audit

Four Domains. Every Risk AI Code Introduces.

Cursor, Copilot, Claude, Lovable, and bolt.new ship working code fast. We review it as carefully as code a human wrote, because attackers don’t care which one built the vulnerability.

Application Security

The parts of your app an attacker touches first.

  • OWASP Top 10 coverage
  • Authentication & access control
  • Secrets & credential management
  • LLM & AI attack surfaces

Performance

Where AI-generated code quietly wastes cycles and money.

  • Client bundle size review
  • Database query efficiency
  • Rate limiting on public routes
  • Caching strategy

Architecture

Whether the system holds together as you scale.

  • Data integrity & schema design
  • Authentication flow design
  • CI/CD pipeline readiness
  • Infrastructure resilience

GDPR & Compliance

What regulators and enterprise buyers will ask about.

  • PII handling & storage
  • Data retention policies
  • Privacy implementation review
  • Third-party data flows

— Who It's For

Built for teams that shipped before they hardened.

Founders Shipping Their First Product

Ship fast with AI, then get a second pair of eyes before real users show up.

SaaS Teams Preparing for Due Diligence

Walk into an investor or acquirer review with a clean report in hand.

Teams Onboarding an Enterprise Client

Answer the security questionnaire with evidence, not promises.

Products Shipping New AI Features

Prompt injection and tool-calling risks that generic scanners miss.

Apps Handling Sensitive Data

Healthcare, finance, and other data that can’t afford a breach.

— What You Get

Deliverables You Can Act On

Actionable outputs, not scanner noise. Every audit ends with documents your engineers and your board can both use.

Security Report

Every finding classified by severity, with business impact explained in plain language.

Remediation Checklist

A prioritised, engineer-ready list of exactly what to fix and in what order.

Architecture Brief

A written map of your system design, with call-outs on what won’t hold as you scale.

STRIDE Threat Model

A structured model of how each critical flow could be attacked, and what stops it.

Live Walkthrough

A session with the auditing engineer to walk through every finding and answer questions.

Optional Implementation

If you want us to fix what we find, we already have the context to do it fast.

Our Audit Process

From First Commit to Final Report

1

Scoping & Read-Only Access

We map your stack, flag the AI-generated modules and third-party integrations, and request read-only access to your repository. No production credentials needed.

Repository Access Granted
Day 1
2

Automated & Manual Scanning

We run security scanners across the codebase, then manually review the areas scanners are most likely to misjudge: auth logic, prompt handling, and data access.

Raw Findings List
Days 1–3
3

Severity Triage & Threat Modeling

We classify every finding by severity and business impact, and map critical flows against a STRIDE threat model.

Severity-Ranked Report
Days 4–5
4

Walkthrough & Remediation Plan

We walk your team through every finding live, hand over a prioritised remediation checklist, and scope fixes if you want us to implement them.

Live Walkthrough + Roadmap
Days 5–7
Postman
LangChain
Snyk
SonarQube
GitLab
GitHub

Learning Partnerships

Built with Claude, Cursor, and Copilot. Verified with Snyk, SonarQube, and senior engineers.

FAQs

Questions About the Vibe Code Audit

What founders and teams ask before auditing an AI-built codebase.

Our general software audit covers any codebase. This audit is scoped specifically for products built quickly with AI coding tools: Cursor, GitHub Copilot, Claude, Lovable, bolt.new, v0, and Replit Agent. We check directly for the failure patterns those tools introduce, like hardcoded secrets, missing authorization on scaffolded routes, unrestricted LLM tool access, and skipped input validation, instead of relying on generic scanner rules.
No. We’ve audited codebases built with Cursor, Copilot, Claude Code, Lovable, bolt.new, Replit Agent, and blended AI/human codebases. The failure patterns are similar across tools, and the audit process is identical regardless of what wrote the original code.
Yes. We sign an NDA before receiving any access. All findings remain strictly confidential between us and the commissioning party, and we do not retain your code after the engagement.
Read-only access to your source code repository. Nothing else. We don’t need database access, production credentials, or infrastructure access. If you’d rather not grant direct access, you can export and share a repository snapshot securely.
A structured document with an executive summary, findings grouped by category (application security, LLM/AI surface, architecture, compliance), each finding rated by severity with business impact, a STRIDE threat model for critical flows, and a prioritised remediation checklist. We also include a one-page summary for non-technical stakeholders, useful for investor or enterprise-buyer conversations.
Standard audit: 5–7 days from access granted to report delivered. Expedited audit (48-hour initial findings): available for an additional fee, covering the highest-severity risks first. Larger or multi-service products may take 10–14 days.
Yes. Most clients engage us for a remediation sprint right after the audit. We already have full context on the codebase, so fixes move faster than handing the report to a team starting cold. Remediation is scoped and quoted separately once findings are confirmed.
Focused audit for a single AI-built product: from $4k. Full-stack audit including LLM/AI surface and compliance review: $8k–$15k. Pre-fundraise or pre-enterprise-deal audits with an investor-ready report are priced separately based on turnaround. Book a scoping call for an exact quote.
FAQ illustration

Ready to Audit What AI Built?

Book a scoping call. We’ll review your stack, flag what most needs a second look, and quote a fixed-price audit.

Chat with us