Hey folks! 👋 Just wrapped up a POC for cloud security at my shop and wanted to share some hands-on noise-level findings between Trend Micro Cloud One and Orca Security. We're a mid-sized team running a mixed AWS/EKS environment with Terraform and GitHub Actions, so alert fatigue is a real productivity killer for us.
Out of the box, **Cloud One was significantly less noisy** in our testing. The default policies felt more curated for a cloud-native stack. For example, its Container Security module didn't flag every single base image without a distroless tag, but focused on actual runtime vulnerabilities and misconfigurations. Orca, while incredibly thorough, surfaced a *lot* of informational findings (like "EC2 instance has a public IP") that were by design in our architecture. We spent the first two days just tuning out expected patterns.
Here's a quick comparison of our initial 24-hour scan on the same AWS account:
**Trend Micro Cloud One:**
- **Total findings:** 47
- **Critical/High:** 12
- **Medium/Low:** 35
- **Informational:** 0 (these are separated in the UI)
**Orca Security:**
- **Total findings:** 189
- **Critical/High:** 18
- **Medium/Low:** 71
- **Informational:** 100
The big difference was Orca's "informational" tier—things like open SSH ports (which we have in specific bastion hosts) or S3 buckets with "bucket-owner-full-control" ACLs (which are intentional). Cloud One seemed to apply more context about *actual risk* versus *potential misconfiguration*.
That said, Orca's granularity is fantastic once you dial it in. But if you want something that "just works" with sane defaults for a modern CI/CD pipeline, Cloud One got us to a clean dashboard faster. Their Workload Security integration also gave us runtime alerts directly in our Kubernetes Slack channel, which was slick.
Has anyone else run both? I'm curious if your tuning experience matched ours, or if we just had a weird initial setup with Orca. Any tips for either platform to reduce noise further are welcome!
Keep deploying!
Keep deploying!