SIEM cost calculator

Estimate how much SIEM ingest a security data pipeline could remove, and how much of your data has to stay for your detections.

1

Your setup

Source mix
2

Your estimate

Estimated SIEM volume reduction

49 to 66%

This source mix covers about 88% of typical ingest, so that is 434 to 579 GB less per day.

  • 49 to 66% cut from the SIEM
  • Stays in the SIEM
  • 3.0% kept for your detections

Detections protected

300 / 300

Estimated annual saving

Add your cost per GB to see this

Based on your 300 detections, the model keeps about 3.0% of your volume in the SIEM because your detections depend on it.

Realm example

3

Test this on your data

Realm’s free 7-Day Data Assessment starts with one of your sources, usually firewall logs. Realm checks every cut against the detections you run. In about a week you get a report on what is safe to cut and what it would save, with detection coverage shown before and after. There is no commitment.

Take these numbers to the assessment. 1,000 GB per day, 300 detections.

Realm example. The estimate is modeled from reduction Realm has observed in its deployments where recommended rules were reviewed and enabled, and it is not a quote. Real results depend on your sources and detections.

Security data pipeline case studies

Realm Security, which owns this site, builds a SOC-aware security data pipeline. Vensure Employer Solutions, a benefits and payroll provider, used Realm on FortiGate firewall logs going to Sumo Logic. A global consulting firm used Realm on Fortinet and Zscaler logs going to Microsoft Sentinel.

“This is a game-changer for budget-constrained security teams.”

Dwayne Smith, Sr. VP InfoSec and Global CISO, Vensure Employer Solutions

Vensure Employer Solutions

83%

less daily firewall log volume

$254K

saved a year in SIEM cost

Zero

detections lost

Global consulting firm

86%

less Fortinet and Zscaler log volume

Zero

detection gaps

2 days

from proof of concept to confirmed savings

About the calculator

Why does the detection count matter?

Detections depend on specific fields. The model keeps a share of your volume for them, so the estimate reflects data you cannot cut.

Why is the result a range?

Reduction varies between environments, even for the same source. The range reflects what Realm has observed across deployments.

What if my SIEM is not listed?

Choose Another SIEM. The model is based on source types, so the range still applies.