Traditional scanners work by matching requests and responses against a library of known-bad signatures. It’s a reasonable approach for catching well-documented, mechanical vulnerabilities — but it comes with a structural weakness: anything that resembles a pattern gets flagged, whether or not it’s actually exploitable.
That’s how security teams end up wading through hundreds of alerts to find the handful that matter. Every false positive costs engineering time to triage, and after enough of them, teams start treating scanner output as background noise rather than something to act on.
The fix isn’t a bigger signature database — it’s verifying that a flagged issue is actually exploitable before it ever reaches a human’s queue.
