The easy version of automated attack scanners is to treat it as a detail you can tidy up later.
That is usually how launch risk survives. The product looks good enough in the builder, the demo path works, and the team moves on to the announcement, the campaign, the investor email or the client handoff. The problem is that public visitors do not experience the site as a project plan. They experience the page in front of them, on their device, with their expectations, at the exact moment they are deciding whether to trust you.
PageLens AI exists for that moment. A scan gives you evidence before the public does. It shows the page, the finding, the severity, the screenshot where useful, and the practical next step. It is not trying to replace taste, strategy or engineering judgment. It is trying to make sure the obvious launch-readiness issues are visible while there is still time to fix them.
The risk hiding in plain sight
The awkward thing about automated attack scanners is that it rarely announces itself during a happy-path demo. A founder sees the flow they meant to build. An agency sees the polished design. A product team sees the sprint that finally got over the line. A coding agent sees that the requested component compiles.