Understand your security data.
Shape it. Prove the impact.
Clarity AI understands both ends of your pipeline, shapes the flow to your environment, and proves the impact on your own data.
Security data has outgrown SOC budgets, and it changes faster than most pipelines can keep up.
Most tools move data. Few understand it. None prove the impact.
Moves data without seeing it
Telemetry passes from source to destination, but the pipe never sees what's inside or what each end needs.
Sees the source only
They see the source side and can recommend a change, but the destination end stays dark, so they can't prove the result.
Sees source and destination
Clarity AI understands what your sources produce and what your destinations need, then proves the impact on your own data.
Realm Clarity AI understands your security data: what your sources produce, what every destination needs, and how to optimize the flow between them. You see the reasoning. You make the call.
Know what's in your data before you touch it
Clarity AI reads your environment end to end. It profiles every source at the field level, identifies key OCSF observables and sensitive data, and catches schema drift before it breaks a parser.
- Field-level data composition and automated baselining
- Sensitive data discovery across PII, PHI, and PCI (Privacy Guard)
- Key OCSF observable identification: IPs, usernames, domains, hostnames
- Schema drift detection before it breaks a parser
Shape each source for where it's going
Clarity AI recommends the specific rules for each source and destination, shows the projected impact on volume and cost, and changes nothing until you approve. The same source is shaped one way for the SIEM and another for the lake.
- Recommended reduction rules with projected match rates
- Enrichment strategy: geo, ASN, threat intelligence
- Lean, parseable data shaped for the SIEM
- Structured, enriched data shaped for the data lake
Show the impact was better, not just safe
Clarity AI proves the change on your own data. It confirms every downstream detection still fires, that no reduction stripped a field a detection depends on, and hands you a report you can share.
- Detection Integrity report: MITRE coverage, percent protected, percent reduced
- Confirms every detection still fires on the reduced data
- Reversible: rules run in a pending state before they go active
- A report you can hand leadership, audit, or an examiner
How Clarity AI knows what to keep and what to cut
It learns what each of your sources produces and what each destination needs, then recommends the specific changes for your environment, not a generic template.
Model each source
Clarity AI learns what each source produces: the content, format, and detection value of the telemetry you generate.
Model each destination
It learns what each SIEM, data lake, and AI tool can consume, and the exact shape each one needs.
Recommend the changes
It meets the two and recommends what to keep, cut, enrich, route, and retain, shows the projected impact, and proves the result on your data.
Agentic AI does the analysis. Your team approves the changes.
It reasons over what your sources produce and what your destinations require, then turns that into specific, reviewable recommendations for your pipeline. You see the reasoning and make the call.
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
Where Clarity AI proves it first
The questions a Head of SecOps actually asks
What is Realm Clarity AI?
Clarity AI is Realm's intelligence layer. It understands your security data, shapes it to your environment, and proves the impact before a change ships.
Agentic AI does the work; you see the reasoning and make the call.
How is Clarity AI different from an AI-native pipeline?
Others claim to understand and shape your data. Clarity AI does both and proves it, confirming detections still fire and showing what changed on your own data.
A black box can't show its work. That is the part competitors can't structurally match.
Does Clarity AI make changes automatically?
No. Clarity AI recommends and shows projected impact. Rules run in a pending state first, and nothing goes active until you approve it.
Will Clarity AI replace my SIEM or detection engineering?
No. Clarity AI shapes the rules and the Platform acts on them, upstream of your tools, making the data they receive cleaner, cheaper, and more trustworthy.
Your SIEM and detections stay yours.
How is understanding my data different from what my SIEM already does?
Your SIEM sees only what reaches it, after you have paid to ingest it. Clarity AI understands your sources before ingest and what each destination needs.
So it can tell you what's worth sending and what isn't. The SIEM can't see upstream.
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