Connect what you have.Feed what comes next.
Realm sits between your sources and your destinations, and takes data from almost any source into the SIEM, lake, and AI tools you already run. Realm Clarity AI shapes each stream for where it lands.
Every buyer asks the same three questions. Here is how Realm answers them.
1. Does it connect to what I already have?
Realm ingests across the full security stack: firewall, endpoint, identity, email, and cloud. If a source can deliver over a supported transport, Realm takes its data.
2. What will it support downstream?
One pipeline fans out to your SIEM, data lake, AI tools, and low-cost storage at once. Clarity AI shapes each stream for the destination it feeds.
3. Will it grow with me?
Sources are decoupled from destinations, so re-routing is one change, not a rebuild. New sources onboard without engineering, and source intelligence expands over time.
Connects to what you already run
Realm ingests across your whole security stack, with day-one source intelligence on the high-volume tools where it saves you the most. A snapshot of what teams connect:
Palo Alto Networks
Fortigate
CrowdStrike
SentinelOne
Okta
Zscaler
Proofpoint
AWS CloudTrailFeeds everything downstream
One pipeline fans out to your SIEM, data lake, and storage at once, for example Splunk and Sumo Logic together. A snapshot of where teams send data:
Splunk
Microsoft Sentinel
Cortex XSIAMCrowdStrike NG-SIEM
Sumo Logic
Databricks
Hydrolix
Elasticsearch
AWS S3Intelligence that scales with your stack
Every source you send gets recommendations. What differs is how tailored they are on day one, and that only deepens as your environment grows.
Trained sources
When Clarity AI is trained on a source, you get source-specific, personalized reduction and redaction recommendations, vetted by Realm's security research team and shown with a match rate before you act.
Any source, day one
No matter the source, you still get recommendations. Realm fully ingests and parses your data and makes it visible field by field, with statistical recommendations until Clarity AI is trained on it.
Managed pull integrations
For sources Realm pulls from, such as Salesforce, Realm manages the integration for you, with nothing for your team to build. Once connected, it carries the same source intelligence as any trained source.
Connecting a source is table stakes. Realm Clarity AI understands what each source produces and what each destination needs, then shapes the flow between them, so your team runs the pipeline without data engineers.
Knows both ends of the pipe
Clarity AI profiles every source at the field level and models what each destination can consume. Give it Fortinet firewalls feeding Splunk and it knows what that data contains and what Splunk needs from it.
Sets the rules per destination
SIEMs want lean, parseable input that still fires every detection. Lakes want parsed, normalized data tagged with key OCSF observables. Clarity AI shapes the same source differently for each, with no-code routing.
Confirms it worked, on your data
Recommendations are evidence-based, shown with a match rate, and run in a pending state against live data before they go active. Nothing changes until you approve it.
Clarity AI does the analysis. Your team approves the changes.
A format-agnostic Collector and managed parsing onboard new sources without engineering on your side. Schema drift detection catches source changes before they break parsing. You see the reasoning and make the call. Learn more →
Every pipeline can move your data.
Realm understands both ends and shapes the flow between them.
Sources, destinations, and the flow between them. Competitors understand one side. Clarity AI models both, so each tool gets data in the exact shape it needs.
Vensure Employer Solutions connected FortiGate firewalls feeding Sumo Logic, and let Clarity AI shape the stream for what the destination actually needed.
This is a game-changer for budget-constrained security teams. Dwayne Smith, Sr. VP InfoSec & Global CISO, Vensure Employer Solutions
The questions buyers ask about connecting Realm
What sources and destinations does Realm integrate with?
Realm integrates with the tools most teams already run: firewall, endpoint, identity, email, and cloud on the source side, and SIEMs, data lakes, and archives on the destination side.
It sits between them and shapes each stream for wherever it lands, so every tool gets data in the form it needs.
Does Realm integrate with my SIEM, like Splunk or Microsoft Sentinel?
Yes. Realm sends to the major SIEMs, including Splunk, Microsoft Sentinel, Cortex XSIAM, CrowdStrike NG-SIEM, and Sumo Logic, along with data lakes and archives.
You keep your SIEM in place, and Realm feeds it leaner, cleaner data so you ingest only what you need.
How do I connect a custom or in-house log source to Realm?
Any source that can deliver over a standard transport, such as syslog, an HTTP webhook, or S3, can connect using Custom CEF, JSON, or Syslog.
Realm ingests and parses it and makes it visible field by field, with no engineering on your side.
How do I send the same security data to both a SIEM and a data lake?
Route each source to multiple destinations and shape the data differently for each: lean and parseable for the SIEM, structured and context-rich for the lake. A single logical destination can fan out to more than one tool at once.
Realm Clarity AI tailors the format per destination so each tool gets data in the shape it needs, from one pipeline.
Do I have to replace my SIEM or other tools to integrate Realm?
No. Realm sits upstream of your SIEM, data lake, and tools, so your stack stays in place and simply receives better data.
Realm is owned by no SIEM or destination, so you can switch or consolidate downstream tools later without re-instrumenting.
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