Hey everyone! 👋 We recently finished setting up Exabeam to ingest our Okta logs for user behavior monitoring, and it’s been a game-changer for our security and compliance workflows. I figured I’d share our step-by-step process and a few key takeaways that might save you some time.
First, you'll need to ensure you have the right Okta logs flowing. We focused on the **System Log API**. The main events you'll want are:
* User session events (login, logout)
* User lifecycle events (create, update, deactivate)
* Authentication events (MFA attempts, failures)
* Administrative actions (policy changes, app assignments)
We used Exabeam's "Generic Log Collector" for this. The key was formatting the API pull correctly and mapping the Okta fields to Exabeam's expected schema. Pay close attention to the `actor.alternateId` (username) and `eventType` fields—they're crucial for building accurate user timelines.
A couple of pro-tips from our implementation:
* **Rate Limiting:** Okta's API has limits. We had to configure our collector to respect the `x-rate-limit-remaining` headers to avoid getting throttled.
* **Field Normalization:** We created a few custom parsing rules to ensure Okta's specific event types (like `user.session.start`) translated cleanly into Exabeam's behavioral model.
* **Watch for Admin Actions:** Integrating these logs made it super easy to set up alerts for unusual administrative changes, like a user being added to a high-privilege group unexpectedly.
The integration has been solid for spotting anomalies, like logins from unusual locations or a spike in failed MFA attempts. It’s also helped our sales ops team clean up inactive accounts by seeing who hasn't logged in for 90+ days. If you're going through this, my biggest advice is to start with a focused set of critical event types first, then expand. Trying to ingest everything at once can be overwhelming.
Has anyone else done this integration? I’m curious if you used a different method or have other watchlist ideas to share!
—Amy