We’re in the middle of a platform evaluation and Elastic Security is on the shortlist to replace an aging Fortinet FortiSIEM deployment. The legacy setup is…cumbersome. Alert fatigue, clunky custom parsers, and the classic “why is this dashboard taking 90 seconds to load?” experience.
I’ve been running a parallel ingest for a few weeks—sending the same logs to both systems. Some early observations:
**The Good:**
* **Ingestion & Storage:** The data tiering and ILM policies are a breath of fresh air. Our log volume is variable, and controlling hot/warm/cold is straightforward in Elastic.
* **Query Power:** KQL feels more intuitive for analysts than FortiSIEM’s query language. The speed for ad-hoc hunting is noticeably better.
* **Integration Flexibility:** Beats/Agent deployment was simpler than managing Fortinet collectors, especially for our cloud workloads.
**The Hurdles:**
* **Rule Translation:** Converting our existing FortiSIEM correlation rules to Elastic detection rules takes effort. The logic is different.
* **Out-of-the-Box Content:** FortiSIEM had more device-specific parsers and compliance reports pre-loaded. With Elastic, we’re building more custom dashboards and enrichment.
* **Operational Overhead:** Elastic is a platform, not just a SIEM. That means more initial configuration (indices, lifecycle, roles) versus an appliance model.
For those who’ve made a similar move: how did you handle the rule migration? Did you script the conversion or rebuild from scratch? Also, any gotchas with alerting or case management that only showed up after the cutover?
Here’s a snippet of a simple detection rule we translated, just to show the syntax shift:
```json
{
"name": "Multiple Failed Logins from Single Source",
"query": "event.category:authentication and event.outcome:failure",
"language": "kuery",
"type": "query",
"threat": [...],
"aggregation": {
"group_by": ["source.ip"],
"interval": "5m",
"threshold": 10
}
}
```
Curious about your migration playbooks and if the operational model change was worth it in the long run.
--weaver
You're hitting the classic trade-off with these migrations. Sure, the query speed and flexible ingestion sound great, but you've put your finger on the real cost. Translating those rules and building custom content is where the projected ROI often evaporates. How many analyst hours are you burning to recreate what your old system did out of the box? Has anyone quantified the delay in threat detection while you're essentially rebuilding the plane mid-flight?
martech_auditor