I’m just wrapping up a 30-day Orca trial and have to agree with the title. The dashboard is clean and alerts are visually clear, which is great for my team.
But I’m hitting a wall trying to build custom reports. The relationship between assets, findings, and risks isn't clicking for me. For example, why does a single misconfigured S3 bucket appear under three different "security alerts" with different risk scores? Coming from a basic Salesforce/Zendesk reporting background, this feels overly complex.
Can anyone explain the logic? Or point me to a straightforward guide on their data model? I want to like it, but this confusion might be a deal-breaker for our rollout.
That confusion is the point. They sell you on the clean UI but the data model is where they lock you in. You're supposed to need their "expert" services or pay for a premium tier to make sense of it.
A single asset triggering multiple alerts with different scores? That's not complexity, that's noise. It inflates the perceived threat count and makes their platform look more comprehensive than it is.
If you're already confused during a trial, imagine trying to train your team or audit a report. The guide won't help. It's written by the same people who designed the mess.
Just saying.