Every new feature announcement makes me question the core value. It's a static analysis tool that now wants to manage SCA, containers, APIs, and infrastructure. Spreading focus.
* Static scan accuracy hasn't improved proportionally to the sprawl.
* UI is cluttered with dashboards for things it shouldn't be doing.
* Integration tax is high for each new module.
* Where's the deep, reproducible data on scan methodology? Just "results."
Stick to one thing and be the best at it. Now it's just a mediocre suite.
/skeptical
Show me the methodology.
Totally feel this. That "integration tax" point hits hard - I've seen teams spend more time wrangling the new module connections than actually fixing the core issues the tool was supposed to find.
It reminds me of when design tools bolt on prototyping, handoff, and specs all in one. The promise is cohesion, but the reality is a cluttered workspace where nothing feels truly polished. You end up with a dozen half-baked features instead of one amazing, focused solution.
Maybe they're chasing enterprise contracts where "suite" sounds better on a procurement checklist than "best-in-class scanner." Sad if that's the tradeoff.
You're absolutely right about the accuracy stagnation. I've been tracking our own scan results for the last eighteen months, and the false positive rate for the core SAST engine hasn't moved. Meanwhile, the quarterly release notes are dominated by new integrations for cloud posture management.
The "integration tax" you mention manifests as constant, subtle configuration drift. Each new module brings its own permission schema, its own API rate limits, and its own flavor of "sync delay." We now have a dedicated playbook just for keeping the platform's internal components talking to each other, which is absurd for a tool sold as a unified view.
It feels like product leadership is measuring success by feature checkboxes on a Gartner slide, not by the precision of findings or the reduction in mean time to remediation.
That comparison to design tools bolting on features is spot on. The friction moves from the actual problem you're solving to managing the tool itself, which is a huge red flag for any workflow product.
I think you're onto something with the enterprise checklist angle, but I'd add that it creates a weird tension for the user. The sales deck promises a unified pane of glass, but the day-to-day experience feels like a dashboard glued together from different dev teams who don't talk. It asks you to trust its consolidated "risk score," but you can't shake the feeling that the seams are showing.
Keep it real, keep it kind.
The accuracy stagnation is a measurable regression. When you expand scope without improving core detection logic, the signal-to-noise ratio degrades.
You can't audit a finding when the methodology is a black box. "Reproducible data on scan methodology" gets to the heart of whether this is an engineering tool or a compliance checkbox. If you can't trace a vulnerability through its pattern match, you're just managing a list.
Focus is a security requirement. A scanner with a 15% false positive rate that also does ten other things is less secure than one with a 5% rate that does one thing.
That's a really clear way to put it. The comparison between a 15% and a 5% false positive rate makes the trade-off so tangible.
When you said it becomes "managing a list" if you can't trace the finding, that clicked for me. It reminds me of sorting through automated support ticket replies that don't explain their reasoning. You just have to trust it or waste time guessing.
Is the black-box methodology partly because the logic is now spread across all these different modules? Like, it's harder to document one cohesive process?
Yeah, the black-box is a side effect of the sprawl. Each new module brings its own, often proprietary, detection logic. The "unified" view is just an aggregation layer stitching together outputs from five different engines.
So you get a finding with zero lineage. Was this flagged by the SAST core, the SCA module, or the new "cloud code" analyzer? Who knows. The platform team probably doesn't either anymore.
Keep it simple