Vibe Code Audit Consulting

You built it with AI.
Someone needs to check the work.

Human experts audit AI-built software for non-technical founders and the investors backing them. Do it right the first time — or let us help you get back on track before it costs you more than the audit ever would.

$ /security-scan src/api/
Scanning 47 files for OWASP Top 10 vulnerabilities...
[CRITICAL] SQL Injectionsrc/api/users.ts:84
[HIGH] Missing auth on /admin routesrc/api/admin.ts:12
[MEDIUM] JWT secret is hardcodedsrc/auth/config.ts:3
3 critical findings. Full report with plain-English fixes delivered.
$
// The Stakes

AI built fast. Fast doesn't mean safe.

A weekend build that skips review doesn't save time — it borrows it, at interest. These are real companies that paid the compound rate.

// Case Study — Data Breach
The Tea App
Built by a non-technical founder using AI coding tools. The codebase went live handling real user identity documents without a proper security review.
72,000
identity documents exposed · 10 class action lawsuits filed
// Case Study — Credential Leak
Moltbook
AI-generated code shipped with improperly handled API tokens. No engineer reviewed the credential management logic before the product launched.
1.5M
API tokens exposed · within 3 days of launch
45%
of AI-generated code fails basic security tests on first review
63%
of vibe coders in 2026 have no formal software development background
// Who We Help

Built for the people with the most to lose

🏗️
Vibe Code Founders
You shipped a product with Cursor, Lovable, Bolt, or Replit. It's live — or about to go live — with real users and real data. Do it right the first time and ship with confidence. Already live and not sure what's in there? We're here to help you get back on track, not to judge how you got here.
  • No technical co-founder or in-house engineer
  • Real employee or customer data flowing through the app
  • Payment processing or sensitive data storage
  • Pre-launch, post-incident, or fundraise prep
📈
Pre-Seed → Series A Investors
Your portfolio companies are shipping AI-built software faster than ever. That's great for velocity. It's a liability when the code has security holes, logic bugs, or compliance exposure that nobody caught — until a breach or a diligence process does.
  • Technical diligence on AI-built portfolio company codebases
  • Risk flagging before a Series A investor asks the hard questions
  • Compliance readiness for SOC 2, HIPAA, or enterprise sales
  • Transferable report for incoming CTOs or engineering hires
// Process

A real audit. Not a scanner output.

Automated tools catch the obvious. We catch what they miss — the logic errors, the architectural risks, the decisions that looked fine until they weren't. You fix it once, correctly. That's the whole point.

01
You share the codebase
GitHub, GitLab, Bitbucket — or a private zip. No repo access required permanently. We scope the engagement to your risk areas.
02
Our PhD engineer reads the code
A human reads every file. We run tools on top of human review — not instead of it. Eight years of senior-level data science and engineering work.
03
Two-layer report drafted
Technical findings from the engineer. Business impact written by our MBA operator — liability, compliance, and fundraising implications in plain English.
04
You get the report + a call
Every finding includes a file path, a plain-English explanation, and a concrete fix. No vague observations. Follow-up call to walk through what matters most.
// The Deliverable

Two principals. Two lenses on every engagement.

// Technical Principal
Reads the code
PhD in spatial information engineering. Eight years as a senior data scientist and manager at Fortune 500 companies. Writes the technical findings — every vulnerability, every logic error, every architectural risk — with a file path and a fix.
// Business Principal
Translates the risk
MBA. Fifteen years of startup experience from individual contributor through co-founder. Writes the executive summary — what the findings mean for liability, compliance readiness, fundraising, and enterprise sales. The section your investors will read.
Critical Sample finding — Standard Audit report
src/api/users.ts:84

SQL Injection via unsanitized user input. The getUserByEmail() function concatenates user-supplied input directly into a raw SQL query string. An attacker who can reach this endpoint can read, modify, or delete any row in the database — including all user records, payment data, and session tokens.

Business impact: This is a critical liability exposure. If exploited, it would constitute a reportable data breach under most U.S. state privacy laws and GDPR. Depending on the data in your database, this could trigger notification requirements, regulatory fines, and civil liability.

// Recommended Fix

Replace raw string concatenation with parameterized queries using your ORM's prepared statement API. This is a one-file, one-function change. We've included the corrected code in Appendix A.

// When to Get Back on Track

Do it right — or let us help you course-correct

🚀
Pre-launch
The right time to do it right is before you're committed. Get a go/no-go while you still have options.
from $3,500
🔥
Post-incident
Something broke or was exposed. It happens — we're here to help you understand what's in there and get back on solid ground.
from $7,500
📋
Compliance
An enterprise customer or regulator is asking for a security audit. We write the report.
from $15,000
👥
Team handoff
A real engineer is inheriting AI-built code. Give them a clean picture so they can get the product back on a professional footing.
from $7,500
💼
Fundraise prep
Investors want to see the code. Get ahead of technical diligence with a clean report.
from $15,000
// For Investors

Your portfolio companies are shipping AI-built code. Do you know what's inside it?

A vibe-coded internal tool that mishandles a single API key can become a front-page incident. We give you the diligence layer that AI coding tools don't provide.

Pre-investment technical diligence on AI-built codebases
Risk report formatted for your LP communications
Compliance readiness assessment (SOC 2, HIPAA, GDPR)
Transferable findings doc for incoming engineering leadership
Portfolio-wide retainer pricing available
Executive summary your founders can act on immediately
Talk to us about your portfolio →
// Pricing

Transparent pricing. No hidden fees.

Every engagement includes a written report with actionable findings. You know exactly what you're getting before you sign — or move to ongoing coverage when you need it.

Pre-Launch Scan
$3,500
one-time · 5 business days
The right time to do it right is before launch. Scoped to your highest-risk areas — auth, payments, data.
  • Authentication & access control
  • Secrets and credential exposure
  • OWASP Top 10 check
  • Data handling risks
  • Go/no-go recommendation
Book a scan →
Full Engagement
$15,000
one-time · 15 business days
Do it right the first time and make sure your team knows how to keep it that way. Compliance included.
  • Everything in Standard Audit
  • Two-principal review
  • Compliance readiness (SOC 2, HIPAA)
  • Remediation walkthrough session
  • Team training on findings
  • 30-day follow-up review
Get in touch →
$5,500/mo
Retainer — You ship, we stay current. No scrambling when something changes — just ongoing coverage that keeps you on track as the product evolves. ~2 reviewer days per month.
Discuss retainer →

The breach doesn't care
that you used AI to build it.

Whether you're about to launch and want to do it right the first time, or you're already live and need to get back on track — we read the code so you can move forward with confidence.

hello@slopgoblin.dev →

We respond within one business day. No sales call required to get a quote.