Before AI-generated code reaches real users, know exactly what's in it. A pre-release audit for apps, CMSes, and internal tools built with AI - security, dependency risk, and architecture gaps, found before they become incidents.
AI coding tools optimize for "it works," not "it's safe." Veracode found that 45% of AI-generated code samples introduce an OWASP Top 10 vulnerability - and a 2026 scan of 5,600 publicly deployed AI-built apps turned up 2,000 critical vulnerabilities, 400 exposed secrets, and 175 leaks of personal data. Whoever built it - your team, a contractor, or an AI copilot - we audit the codebase before it reaches real users and hand you a plain-English report on exactly what's wrong, ranked by how much it actually matters. If something needs fixing, we can do that too, through our existing modernisation and migration or quality assurance work - but the audit stands on its own either way.
We run static application security testing (SAST) and software composition analysis (SCA) across the full codebase to catch the failure patterns AI tools repeat most often: hardcoded API keys and secrets, missing input validation, and injection flaws. In plain terms - this is an automated first pass that flags the mistakes an AI makes when it optimizes for "compiles and runs" over "handles a malicious input safely."
AI tools sometimes invent packages that don't exist. It's a real enough problem that OWASP now tracks it as "slopsquatting" - attackers register the exact fake package names AI models predictably hallucinate, then load them with malware, betting someone's AI assistant will suggest that name again. We check every dependency your AI tool pulled in against what's actually real, actually maintained, and actually safe to install.
Scanners catch known patterns; they don't understand what your app is supposed to do. A senior engineer manually reviews how the code handles authentication, payments, and personal data - the areas where an AI tool's "it compiles" confidence is most dangerous, because a broken auth check doesn't throw an error. It just quietly lets the wrong person in.
Code that's correct for the one person testing it isn't automatically correct for the thousand who show up after a good launch. We check whether the database is indexed, whether the app degrades gracefully under real load, and whether the architecture an AI assembled piece by piece actually holds together as one coherent system rather than a set of parts that happened to compile.
If the app touches personal data, we check how it's stored, who can access it, and whether the basics - encryption at rest, access controls, data retention - are actually in place, not just assumed. This is the section of the report most founders forward straight to an investor or an enterprise customer's security questionnaire.
Every finding is ranked by real-world risk and paired with a specific, actionable fix - written so you can hand it to a developer, act on it yourself, or bring it back to us if you'd rather we implement the fixes directly.
Intake
repo access / stated app purpose and users / security-only or full-review scope agreed
Automated scan
SAST / SCA / secret scanning across the full codebase
Manual review
auth flows / data handling / business logic reviewed by a senior engineer
Report
every finding ranked by real-world risk / a specific fix for each one
Walkthrough call
findings explained live / questions answered / nothing left in jargon
Fix, if you want us to
same team implements fixes / no handoff / entirely optional
Not sure if your app needs a full audit or just a quick sanity check?
Tell us what you're shipping and we'll tell you honestly what level of review it needs.
Intake
Automated scan
Manual review
Report
Walkthrough call
Fix, if you want us to
We start with access to the repo and a short conversation about what the app does, who uses it, and what's most at stake if something goes wrong - a fintech app handling payments gets a different risk lens than an internal tool used by ten employees. You choose the scope: a fast security-only pass, or a full review covering architecture and data handling too.
Not sure if your app needs a full audit or just a quick sanity check?
Tell us what you're shipping and we'll tell you honestly what level of review it needs.
Know what's actually dangerous, not just what's broken
Ship on schedule, with a paper trail
A scanner can flag a hundred things wrong with AI-generated code, but most of them don't matter. We rank every finding by real-world risk - a hardcoded staging API key is not the same problem as an authentication bypass that exposes every customer's data - so you spend your time and budget on the five issues that actually threaten the business, not the ninety-five that don't.
This is also where the hallucinated-dependency problem gets caught. AI tools sometimes suggest packages that don't exist, and attackers now register those exact fake names with malware inside - a technique OWASP tracks as "slopsquatting." A generic scanner won't catch this because the package name looks plausible; a manual review of what actually got installed will.
An audit shouldn't be the thing that stalls your launch. A standard review takes about a week, and you get a walkthrough call, not just a PDF dropped in your inbox - so you can move straight from "here's what's wrong" to "here's what we're doing about it" without a week of back-and-forth over email.
The report itself doubles as documentation. Forward it to an investor doing diligence, attach it to an enterprise customer's security questionnaire, or keep it on file as proof you took the pre-launch check seriously. It's written in plain language specifically so it's useful outside an engineering team, not just inside one.
They’ve already trusted us.
Over the last few years I have had a pleasure to work with Dev and Deliver team on various digital projects including mobile applications and web development. DnD has a wide range of expertise and for that reason we have been able to capitalise their skills in various IT fields. Apart from providing our company with front end development, they have also supplied our company with API and CMS solutions for complex projects. DnD provides a reliable service and out of the box solutions to deliver the best final product possible. I’m more than happy to recommend the services of Dev and Deliver, as they are a group of dedicated and supportive professionals.
Chad / Group Managing Director
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