Having just finished a lengthy POC and contract negotiation for a multi-cloud environment, this was a key operational metric we needed to nail down. The sales slides talk about "continuous scanning" and "real-time," but for budgeting and on-call rotations, we needed the *actual* numbers.
From our three-month pilot across AWS and Azure, here’s what we observed for the core workload scanning:
* **Agentless Side-Scanning:** The bread and butter for VM and container vulnerability detection typically ran on a 2-4 hour cycle per asset. It's not instantaneous, but it's consistent.
* **Cloud Configuration & Compliance:** This was faster. Changes to IAM, S3 bucket policies, or security group rules usually appeared in the Orca dashboard within **15 to 45 minutes**. The outlier was during a major cloud provider service degradation, which pushed some findings to 90 minutes.
* **The "Instant" Alerts:** Truly near-real-time events are limited to a specific subset, like new critical vulnerabilities they push via their "Instant Risk Assessment" or their Cloud Security Posture Management (CSPM) for net-new resources. A brand-new, publicly exposed EC2 instance showed up in under 10 minutes.
The biggest factor in latency wasn't Orca's tech, but our own cloud footprint size and API rate limits. Once we fine-tuned the integration account permissions and managed throttling, the times stabilized.
I'm curious how this lines up with others' production experiences, especially for those with hybrid clouds or massive scale. Did you see different latencies for GCP? Has anyone pushed the cycle times lower through configuration, or is that a hard limit of the side-scanning approach?
Stay pragmatic.