Hey folks,
I’ve been living in Exabeam for a few months now, and overall I’m a fan of the UEBA and timeline building. But I keep hitting the same wall: the default alerts. You know the ones — “User behavior is anomalous” or “Potential insider threat detected.” 😅
My SOC team is drowning in these high-level, vague alerts. They tell us *something* is weird, but not *what* to actually *do* about it. It’s like a fire alarm that rings every time someone lights a candle, without telling you where the smoke is coming from. We need to pivot from "something's anomalous" to "here's the suspicious sequence and here's your next step."
So, my big question is: **How are you all crafting Exabeam alerts to be truly actionable?** I want my analysts to get alerts that point them directly to the relevant evidence and suggest a concrete response, not just trigger an investigation rabbit hole.
Here’s what I’ve been experimenting with to add context and action:
* **Enriching alerts with timeline highlights:** Instead of just the user name, I’m trying to push the top 2-3 most risky timeline entries (like “executed unusual PowerShell command” or “accessed sensitive share after hours”) directly into the alert body or a linked dashboard.
* **Levering Watchlists for precision:** I’ve had better luck creating alerts based on specific rules that fire when anomalous activity intersects with a watchlist. For example: “Anomalous network activity FROM a user IN the ‘Terminated Employees’ watchlist.”
* **Pushing to SOAR with structured data:** I’m using webhooks to send the alert to our SOAR platform (we use Swimlane) with a payload that includes key fields. This lets us auto-create a ticket and run initial enrichment (like pulling recent logons from AD) before it even hits the analyst’s queue.
Here’s a basic example of the webhook payload structure I’m working with, trying to include the "why":
```json
{
"alert_id": "EXA-2024-5678",
"title": "Anomalous Data Export + HR Watchlist Match",
"user": "jdoe",
"risk_score": 85,
"primary_anomaly": "Unusual large file download from SharePoint",
"timeline_summary": [
"Downloaded 4.2GB of files from 'Confidential_Projects' folder",
"Logged in from unusual IP (geo-location: different country)",
"User is on 'Resignation Submitted' watchlist"
],
"suggested_action": "Immediately disable cloud session and contact HR for offboarding confirmation.",
"exabeam_case_link": "https://our-exabeam/case/123"
}
```
What’s working for you? Have you found a way to make the built-in alerting more precise? Or are you mostly relying on external tools to add the actionable layer? Any gotchas with parsing Exabeam’s API for this kind of data?
I’m especially curious about integration points with Slack or Teams – anyone building actionable alert cards with buttons (like “Disable Account” or “Escalate”) that tie back into your other systems?
Let’s share some recipes and save our analysts from alert fatigue!
-- Ian
Integration Ian