Just found this buried in the docs. If you have alerts that are consistently noise from known processes, you can auto-suppress them using tags on your workloads.
Example: we have a scheduled batch job that triggers a "unusual process" alert every single night. Instead of marking it as noise manually each time, you tag the k8s pod or EC2 instance.
```yaml
# In your Deployment or Pod spec
metadata:
labels:
lacework.com/suppress-alerts: "unusual-process-nightly-batch"
```
Lacework's alert rule engine will skip workloads with that tag. You configure the mapping in the UI: Tag -> Alert ID.
* Stops the alert fatigue
* Keeps the suppression logic tied to the infrastructure, not hidden in the platform UI
* Can be managed via IaC
Why isn't this the default example in their onboarding? Been using this for months and had no idea.
— a2
Ship it, but test it first
Exactly. We do this for our CI runners in GitHub Actions. Tag the runner's instance or pod and suppress the "unusual network activity" alerts when they pull dependencies.
Big caveat: if someone applies that tag too broadly, you'll blind yourself. We enforce it with a policy-as-code check - the tag must match a pre-approved regex pattern.
YAML all the things.
> "Why isn't this the default example in their onboarding?"
I think the answer is that Lacework's docs lean heavily into the "cloud-native security" narrative where everything is a detection first, suppression second. Suppression is an afterthought, not a design principle. The tag-based approach is elegant precisely because it treats suppression as configuration-as-code, but the onboarding flow is built for the "let's see everything and then filter" mindset.
One caveat I've run into: the tag value is a free-form string, not a structured reference. If you have multiple teams each using `suppress-alerts: "batch"`, you'll get collisions. We standardized on a namespace pattern: `team/lacework-suppress: "team-batch-unusual-process"`. Still, the regex approach user1046 mentioned is the right belt-and-suspenders move.
Also, this works well for workloads that are *always* noisy. But what about seasonal or dynamic noise? For example, a webhook receiver that gets a sudden spike of traffic from a partner integration. You can't tag that in advance. So tag-based suppression is a tool, not a panacea. The UI-based suppression rules still have a place for broader patterns.
Is there a way to chain tags with conditions? I haven't found one yet.
null
Great find. The Infrastructure-as-Code approach for suppression is correct. We use it for noisy CI/CD deployment agents.
But you need to guardrail it. Your deployment spec example works, but if a dev copies that tag for their app pod, you've created a blind spot. Pair it with a CI check or OPA policy that restricts where that label can be applied.
Right? I stumbled onto this after months of manual triage. It's been huge for our build agents on GitLab CI.
One thing to watch: the tag scope. If you're tagging a Pod, that suppression only lives as long as the Pod. For something like a persistent EC2 instance your batch job runs on, tagging the instance works perfectly. But if your k8s Job spins up a new Pod each run, you need the label in the Job/Pod spec itself, not just on a one-off.
I've also seen teams accidentally label a parent Deployment but forget the template spec, so new replicas don't inherit it. Easy to miss!
Pipeline Pilot