Cut the volume.
Keep every detection.
Realm proves that cutting your SIEM log volume never costs you a detection. On your own data.
SIEM costs keep climbing. The obvious lever is cutting log volume. But your detections run on the same data you're cutting.
Cut blind and you can silently break one. You don't find out until an attack you should have caught goes undetected. An AI-led SOC only raises the stakes.
Keep paying the SIEM
Costs compound. You give up cost control as volume grows underneath you.
Reduce by rule of thumb
Configured rules cut volume, and you find the coverage gap later, usually during an incident.
The Realm way
Realm checks every reduction against your live detections and protects the exact fields each one depends on.
Detection integrity proves that cutting your SIEM log volume never costs you a detection.
See the coverage and what it costs
Realm maps your detections to MITRE ATT&CK and to the sources feeding them, so you can see your tactic coverage and how much volume each detection depends on.
- MITRE tactic overlay across all sources
- Source-to-detection mapping
- How much data volume each detection depends on
Reduce without losing a detection
Before Realm reduces a source, it checks the cut against the detections you run and protects the exact fields each one depends on. Everything else is retained in Data Haven, searchable and ready to resupply.
- Field-level dependency mapping
- Protection rules built automatically
- Reduced data retained in Data Haven, not dropped
Prove it, without the manual grind
Most teams don't validate detections against reduction, because by hand it's too complex to keep up. Realm does it automatically and hands you a report you can share.
- Written detections translated to protection rules
- Works across nearly every query language, Sigma, SPL, KQL, CQL, and more
- Re-run as your detections change
Read, protect, prove
You bring your detections in, Realm maps them to your sources and MITRE, builds the protection rules, and delivers the report.
Read every detection
Realm parses the detections you run and maps each to the log sources and fields it depends on, plus its MITRE ATT&CK coverage.
Build the protection
A SIEM-aware agent translates each detection into a protection rule, or flags it as a finding when it can't safely build one.
Prove it
A report shows what was reduced, what was protected, percent savings, and MITRE coverage. Inside the product and shareable outside it.
Clarity AI does the parsing and the reasoning.
It parses every detection, maps the fields each one depends on, and builds the protection rules, then shows its work so you see why and make the call. Learn more about Clarity AI →
Every pipeline can cut volume.
Only Realm proves the cut didn't cost you a detection.
On your own data, in a report you can see and share. Others can claim they understand your data. They can't prove it against your detections, because a black box can't show its work.
Vensure Employer Solutions , a 10,000+ employee benefits and payroll provider protecting millions of users' highly sensitive financial data.
This is a game-changer for budget-constrained security teams. Dwayne Smith, Sr. VP InfoSec & Global CISO, Vensure Employer Solutions
The questions a Head of SecOps actually asks
Can you reduce SIEM log volume without losing detection coverage?
Yes, as long as every reduction is checked against your live detections before it takes effect. Cut blindly and you risk removing a field a detection depends on, so coverage degrades without anyone noticing.
Realm reads every detection you run, protects the exact data each depends on, and reduces the rest, retained in Data Haven so it stays searchable.
What happens to my detections when I cut log volume in Splunk?
Detections break silently when the data they depend on is cut, and you usually find out only when one fails to fire during a real incident. That's why volume reduction should be validated against your detections first.
Realm checks each reduction against your live detections and flags anything it can't safely cut, so you reduce cost in Splunk or any SIEM without losing coverage.
How do I know which logs are safe to reduce or retain?
Realm does this mapping automatically across nearly every query language, from Sigma, SPL, and KQL to CrowdStrike CQL, Sumo Logic, and Cortex XDR, and retains reduced data in Data Haven so you can search and resupply it later if you need it.
How much of my SIEM volume is actually feeding my detections?
Often a small share. Many detections are narrow and rely on a tiny fraction of total log volume, so much of what you ingest buys little detection value.
Realm shows the log volume behind each detection, so you see which are cheap to keep and which carry real weight, then reduce the rest.
How do I prove that reducing SIEM cost didn't reduce security coverage?
Produce a report that shows what was reduced, what was protected, and your MITRE ATT&CK coverage before and after. That report is what you hand internal audit, leadership, or an examiner.
Realm generates it on your own data, so you can show coverage held rather than assert it.
Pick one source.
We'll prove it on your data in days.
The 7-Day Data Assessment. You pick a source, usually firewall logs. We do everything else, and deliver your reduction, detection integrity, and ROI on your own data in a week.
Start a 7-Day Data Assessment