Just finished a project I'm really excited about—we've successfully built a custom connector to pipe CrowdStrike Falcon alerts directly into Splunk ES as notable events. This has been a huge win for our SecOps visibility and, as a bonus, has some nice cost implications for our cloud logging pipeline.
The driver was simple: our team was tired of context-switching between consoles and wanted Falcon's high-fidelity detections to trigger our existing ES workflows. We used Falcon's Event Streams API and a bit of Python (running in a lightweight AWS Fargate task) to transform and forward only the alert events we deemed worthy of "notable" status. The key was mapping Falcon's severity to ES's urgency and ensuring the `src_user` and `dest_user` fields were populated correctly for identity correlation.
Here’s what we gained:
* **Reduced Mean Time to Respond (MTTR):** Alerts now automatically populate our ES incident review queue with enriched data.
* **Consolidated Tooling Cost:** We're pushing fewer "secondary" log sources into our Splunk ingest (saving on licensing), because we're only bringing over the curated alerts, not the raw firehose.
* **Operational Clarity:** One pane of glass for high-priority investigations. The team loves it.
For anyone considering a similar integration, pay close attention to the API rate limits and build in robust error handling—the Event Streams API can be chatty. We also had to tweak some of our ES correlation searches to properly acknowledge the new source type.
Would love to hear if others have built similar bridges. Did you go with a polling model or webhooks? Any surprises with the data model mapping?
Right-size everything
Nice! That's a clever way to reduce ingest costs - filtering at the source before it ever hits Splunk. We did something similar a while back, but with a different SIEM. The real trick, we found, is keeping that severity/urgency mapping documented and versioned. Ours drifted after a few Falcon API updates and we had alerts landing in the wrong queues for a day 😬.
Do you find you need to adjust the "notable" criteria often, or has the initial mapping been pretty stable? Also, are you sending any of the raw Falcon event context as a JSON blob in a separate field for drill-back? That saved our bacon a few times.
Dashboards or it didn't happen.