Vibe-coding security audits

Ship Safe.
Sleep Sound.

You built fast with AI. Now make sure what ships is secure. I audit vibe-coded apps for web vulnerabilities and AI-specific attack vectors, then help you fix them before they cost you.

No commitment. Results in 5 business days.

5
Business-day audit
3+
Vulnerabilities or no pay
1-on-1
Findings review call

What you get

A clear picture of your app's security, delivered fast, with a guarantee that forces me to find real problems.

Free risk assessment

Before you spend a dollar, I scan your app and surface the most likely attack paths so you know where you stand.

Audit in 5 business days

No six-week security theater. You get a focused, actionable report within a single work week.

3+ vulnerabilities or you don't pay

If I can't find at least three real security issues, the audit is free. I stake my fee on the value I deliver.

Personal review meeting

We walk through every finding together. I explain why each matters, how an attacker could exploit it, and what to fix first.

Vibe-code aware

AI-generated code has predictable weak spots: prompt injection, auth gaps, leaky secrets, and more. I look for what AI shipped and humans missed.

Actionable fix list

Each report is prioritized by risk and effort, so your team can patch the highest-impact issues first.

Web + AI vulnerabilities covered

Vibe-coded apps face two threat surfaces: the web layer and the AI layer. I test both.

Prompt injection

I test whether attackers can manipulate your AI agent or chatbot to leak data, take unauthorized actions, or bypass safeguards.

Insecure AI-generated code

LLMs ship code with hardcoded secrets, weak auth, missing input validation, and unsafe defaults. I catch what the model wrote but didn't review.

Sensitive data leakage

From over-sharing context windows to storing PII in model logs, I check where your data can escape to third-party AI services.

LLM auth & privilege escalation

AI features often blur normal access controls. I test whether users can escalate privileges or access data through the model's reasoning path.

Hallucinated dependencies

AI sometimes invents packages or recommends vulnerable ones. I verify what's actually installed and flag suspicious or malicious dependencies.

Classic web vulnerabilities too

Alongside AI-specific risks, I run standard web security testing: injection, broken auth, XSS, insecure configuration, and exposed secrets.

How it works

From first call to fixed vulnerabilities in three simple steps.

01

Book the audit

Pick a time, share access details, and I'll run the free risk assessment.

02

I test your app

Over the next 5 business days I hunt for vulnerabilities across your app, API, and deployment.

03

Review and fix

We meet to review the findings. You leave with a prioritized fix list and a clear path to a safer app.

Built on the SHIELD framework

A six-step methodology that finds, proves, and closes vulnerabilities — then keeps them closed.

S

Surface

Find what's exposed — apps, APIs, third-party integrations, and AI endpoints.

H

Hunt

Find what's hidden — vulnerabilities buried in generated code, configs, and dependencies.

I

Impact

Know what matters — prioritize findings by business risk, not just CVSS scores.

E

Evidence

Prove what's wrong — each finding includes reproduction steps, screenshots, and impact.

L

Lock

Confirm it's fixed — I re-test fixes so you know the hole is actually closed.

D

Defend

Keep it that way — clear recommendations and playbooks to prevent regressions.

Every engagement includes three security plans

You don't just get a report. You get practical plans you can use immediately.

Data security planIncident recovery planAI continuity plan (for when your LLM isn't available)

Ready to ship with confidence?

Start with a free risk assessment. If it looks like I can help, we'll schedule the audit and get your app secure.

  • Free risk assessment
  • 5-business-day audit
  • 3+ vulnerabilities or no pay
  • 1-on-1 findings review
Book your free assessment