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A development team used an AI tool to generate a landing page that was later compromised through a vulnerable third-party package, causing redirects to gambling sites. The incident was quickly detected and resolved due to the team's technical expertise. The experience highlights that while AI can rapidly generate code, organizations still need the capability to audit dependencies, recognize abnormal behavior, and respond to security issues. AI-generated assets require the same oversight, monitoring, and expert knowledge as traditionally developed systems.

We Got Hacked: The Hidden Risks of AI-Generated Websites

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I really love this part:
That only happened because we knew what we were doing.

We had:

The tools to inspect and audit the code
The experience to recognise abnormal behaviour
The ability to re-engineer the landing page
The knowledge to isolate and remove the problem safely
And that led us to a much bigger question…

What if you don’t have that capability?

And every time I see that people are dropping Open Source CMSs because they vibe-coded their own solution, I see thousands of scenarios of what can go wrong.

<p>I really love this part:
That only happened because we knew what we were doing.

We had:

The tools to inspect and audit the code
The experience to recognise abnormal behaviour
The ability to re-engineer the landing page
The knowledge to isolate and remove the problem safely
And that led us to a much bigger question…

What if you don’t have that capability?

And every time I see that people are dropping Open Source CMSs because they vibe-coded their own solution, I see thousands of scenarios of what can go wrong.</p>