When an AI becomes an accomplice to a digital break-in

A researcher recently tested whether Claude—a Large Language Model, which is a computer program trained on massive amounts of text to predict and generate human-like responses—could help identify security weaknesses on the Front Gate website. Front Gate is the digital ticket booth for major events like Lollapalooza and Bonnaroo. By feeding portions of the website’s underlying code into the AI, the researcher was able to pinpoint specific "bugs," or errors in the site’s instructions, that would have allowed an outsider to bypass payment systems and issue themselves tickets to any festival completely for free.

To understand how this happened, think of a website as a massive, intricate set of legal instructions—a contract that the computer follows to verify who bought a ticket. These instructions are written in code, a language that is highly orderly but also incredibly complex. AI models like Claude are built through a process called training; during this phase, they are shown millions of lines of code and text until they learn how to predict the next logical step in a sequence. Because of this, the AI is remarkably good at spotting patterns in logic. When given code from a website, the AI isn't "hacking" in a traditional sense. Instead, it acts like a very fast, very sharp intern capable of spotting where the instructions fail to hold up. If the instructions say "only issue a ticket if payment is received," but the code governing that rule has a loophole, the AI can point to that specific line and suggest how to slip through it.

This case is a reminder that as we invite AI to help us build and secure our digital world, we are also making those same capabilities available to people who wish to break things. We often think of AI as a consumer toy, but it is actually a tool that makes complex tasks like programming and testing much faster and easier for anyone, regardless of their intent. For the average person, this doesn't mean you need to stop buying tickets online, but it does mean that companies are in a constant race to find and fix their own security holes. The digital locks on our most essential services are only as strong as our ability to double-check them, and that testing process just became significantly faster—and more complicated—for everyone involved.