Your AI says your website is secure. That isn’t a pentest.

A working website is only the starting point

A website can look excellent, accept payments, and pass its feature tests while still exposing information it should protect. When a coding assistant says the application is secure, that statement needs evidence behind it. Ask what was checked, which roles were considered, and what happened when a user tried something the interface did not offer.

AI can help build and improve software. Its involvement alone does not prove a website is either vulnerable or secure. The risk is accepting reassurance without checking the application’s actual behavior.

**From the founder**

VEYRSEC’s founder reports finding vulnerabilities in multiple websites built with AI. That experience is a reason to investigate security assumptions; it is not a measured vulnerability rate for all AI-built sites. Those sites are not named here.

Research has documented the confidence gap

A 2022 study by Perry and colleagues found that participants using an assistant based on an older code model produced less secure solutions on the study’s tasks and were more likely to believe their code was secure. That result concerns a particular model and study design, not every current AI tool.

Earlier, Pearce and colleagues’ 2021 Copilot study found approximately 40% of generated programs vulnerable across selected security-relevant scenarios. These were deliberately chosen coding tasks—not a survey showing that 40% of real websites are insecure. Neither historical study establishes today’s failure rate.

Replace the security claim with useful evidence

Start with a concrete question: what would convince the owner that this particular website’s important boundaries have been checked? A useful answer identifies the test scope, the accounts and roles involved, the evidence collected, and the areas that were not assessed.

An AI can assist with reviewing code or drafting tests, but a second confident response is not an independent assessment. OWASP’s secure coding with AI guidance warns against treating tests produced by the same agent as independent security assurance.

For a business owner, a useful report should turn a technical finding into a decision: what can happen, why it matters, and what needs to change. A report should also be honest about its limits. No check can promise that a website has no vulnerabilities.

Built with AI? Have it checked before you rely on it

You do not have to abandon the website you built. Define the parts that matter most, arrange written authorization, and have the agreed scope examined. Keep the review proportionate to what you are launching and the information it handles.

VEYRSEC offers a $10 initial website check. An additional critical-finding fee starts at $100, with severity criteria and finding fees agreed before testing. The initial check is a limited engagement, not a full application audit or a guarantee of security. Use the pre-launch checklist to prepare your scope.