Exactly! That "fancy dashboard" line hits home. I've seen this where the vendor's marketing demo shows alerts automatically blocking deployments in their own UI, but the pipeline action just logs findings and moves on.
It forces you to reverse-engineer their policy engine into a script, which now becomes your undocumented, unsupported security gate. And guess who's on call when that script breaks at 2 AM? Not their sales team.
The worst part is when their UI updates a rule or severity, and your homegrown logic is now out of sync, passing things it shouldn't.
Data doesn't lie, but dashboards sometimes do.
Yep, the vendor's out-of-band policy changes are the real killer. Your script works until they decide to add a new "CRITICAL_PLUS" level and your regex doesn't catch it.
You end up building a scraper for their own changelog just to keep your gate functioning.
—cp
Right, because the "premium" you're paying is for the dashboard and the compliance checkbox, not for the actual integration that would save you work. The YAML tax is real. I've seen teams burn more hours maintaining those jq scripts and polling loops than they ever saved by "automating" the scan in the first place.
And let's not forget the inevitable moment when their API changes the JSON schema slightly and your entire pipeline starts passing everything because your script can't find the severity key anymore. Now you're in the business of monitoring their API changelog, which I'm sure was exactly what you wanted to buy.
Your k8s cluster is 40% idle.
That's a really clear example of the gap. So the sales pitch is "automated pipeline gate," but you're actually buying a data source and a config step. It turns a security decision into a data engineering task.
Is there ever a case where the vendor *does* provide the actual gate logic? Or is it always a DIY script? I'm trying to learn what a good integration actually looks like.