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
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.
— Vibe Code Audit
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.
The parts of your app an attacker touches first.
Where AI-generated code quietly wastes cycles and money.
Whether the system holds together as you scale.
What regulators and enterprise buyers will ask about.
— Who It's For
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
Actionable outputs, not scanner noise. Every audit ends with documents your engineers and your board can both use.
Every finding classified by severity, with business impact explained in plain language.
A prioritised, engineer-ready list of exactly what to fix and in what order.
A written map of your system design, with call-outs on what won’t hold as you scale.
A structured model of how each critical flow could be attacked, and what stops it.
A session with the auditing engineer to walk through every finding and answer questions.
If you want us to fix what we find, we already have the context to do it fast.
— Our Audit Process
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.
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.
We classify every finding by severity and business impact, and map critical flows against a STRIDE threat model.
We walk your team through every finding live, hand over a prioritised remediation checklist, and scope fixes if you want us to implement them.
Learning Partnerships
FAQs
What founders and teams ask before auditing an AI-built codebase.

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