Detection-Aware Reduction
Safe cost reduction starts with confidence that any event you stop sending isn’t needed by a downstream detection. Realm validates potential reduction rules against the rules running in your SIEM.
Realm finds and filters low-value telemetry so you can lower spend and keep full coverage.
It doesn’t matter if it’s a Splunk ingest bill or a Microsoft Sentinel invoice. Data your SIEM ingests — but rarely or never queries — increases your SIEM renewal costs without adding security value. Realm gives you a sustainable, automated solution for reducing data volumes and cutting SIEM costs without hand-written regex or heavy forwarders.
Safe cost reduction starts with confidence that any event you stop sending isn’t needed by a downstream detection. Realm validates potential reduction rules against the rules running in your SIEM.
See how reduction rules behave in practice before they touch your production data. Realm shows you potential impacts on match rate, evidence, volume savings, and downstream impact, in a staging mode running against live data.
Reducing what hits your SIEM works best when the rest of the data stays available for compliance, investigations, and retrospective hunting, with no restore fees and no separate data engineering project.
Realm is the SOC-aware security data pipeline that stays independent of any single SIEM. Every reduction generated by Realm’s AI is vetted against your detection logic and reviewable in staging before any production data is touched.
Within hours of connecting a source, Realm analyzes your actual log composition and generates personalized reduction recommendations with a plain-English justification of what it filters and what the volume reduction impact would be. Each recommendation is checked against a knowledge base of SIEM detection logic before it reaches you.
Every reduction rule runs in staging against live production data before you promote it. You decide whether to deploy based on the match rate, evidence, volume savings, and downstream impact. Nothing leaves your SIEM until you’ve seen proof it’s safe.
Realm maintains a continuously updated knowledge base of detection logic across Splunk, Microsoft Sentinel, QRadar, Google SecOps, CrowdStrike Falcon, and more. Before a rule is even recommended, Realm validates that no known downstream detection depends on the events it would remove.
The volume you remove from the SIEM is routed automatically to Data Haven, Realm’s normalized-format archive, where you can search by IOC, time range, or source product, and resupply to your SIEM on demand for retrospective correlation.
A benefits and payroll provider protecting millions of users’ sensitive financial data.
“This is a game-changer for budget-constrained security teams.”Dwayne Smith, Sr. VP InfoSec & Global CISO, Vensure Employer Solutions
One of the largest Microsoft Sentinel deployments in the world.
Chosen over other pipelines for reduction effectiveness and a modern, fully managed architecture.
The levers that actually move a Splunk ingest bill — and the ones that just shift engineering effort.
Read the guide → EXPLAINER · SENTINELHow Sentinel’s per-GB and commitment-tier pricing works, and where the avoidable cost hides.
Read the explainer → COMPARISON · 2026Ingestion pricing across the leading SIEM platforms, side by side, so you can model the trade-offs.
Compare providers →Connect a source and get a personalized reduction recommendation in hours.
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