I’ve been helping several clients implement Orca Security over the past year, and one pattern is universal: the initial alert deluge. If you're feeling overwhelmed, you're in good company. The platform's deep visibility is a strength, but without a thoughtful filtering strategy, critical signals get lost in the noise.
I'd like to use this thread to collect and discuss practical alert filtering rules that the community has found effective. The goal is to move from reactive firefighting to a manageable, prioritized workflow. When sharing, please include the rationale so we can understand the *why*.
Here’s a starter set from a typical cloud environment baseline I often recommend. These are high-level categories to suppress or deprioritize initially:
* **Suppress informational findings on non-critical assets:** This includes low-severity issues on development or staging resources that have no sensitive data or external exposure. The key is defining what "non-critical" means for your organization first.
* **Delay alerts for ephemeral resources:** Rules to flag, but not immediately alert on, findings for auto-scaling group instances under 24 hours old. Many issues self-resolve as instances cycle.
* **Context-aware prioritization:** Create a rule to elevate the severity of any finding that combines multiple risk factors (e.g., a vulnerability on an internet-facing asset with known exploit code *and* exposed sensitive data).
What specific rules have you implemented to tame the alert flow? I'm particularly interested in:
* Your first "quick win" suppression rule that made a tangible difference.
* How you handle alerts in containerized environments differently from VMs.
* Any logic using Orca's unique context (like the "secret found in public S3 bucket" type of finding) to create high-fidelity alerts.
Absolutely. The point about ephemeral resources is critical. I've built a whole middleware layer just to handle that lifecycle, because the default alert timing never matches the actual deployment cadence.
My rule of thumb: if an ASG instance survives past 48 hours, *then* you start evaluating its alerts with normal severity. Before that, it's just a log entry for a dashboard. Trying to act on a 2-hour-old instance's "vulnerable package" alert is a recipe for burnout, since it'll likely be terminated before you can even pull up the console.
The real trick is tying the suppression rule to your orchestration tags, not just instance age. If it's tagged `ephemeral: true` or `lifecycle: transient` by Terraform or your CI/CD, mute it entirely unless it's a critical, active attack pattern. Stops the noise from those weekly integration test clusters.
APIs are not magic.