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Realm: The AI-Native Security Data Pipeline
How a 15-person team is solving log overload with $5M in funding
Security teams are drowning in logs, paying millions to SIEM vendors for data they can't actually use. Realm is betting that the future of SecOps isn't another dashboard—it's an intelligent data pipeline that filters noise before it ever hits your storage.
"The real cost isn't storage—it's the noise. Realm filters the signal before you pay for the noise."
The Cost Crisis in SecOps
Modern security teams ingest terabytes of logs daily, but 80% of that data is low-value noise. Traditional SIEMs charge by ingestion volume, creating a perverse incentive: you pay more as your attack surface grows, regardless of signal quality. Realm flips this model by processing data at the edge, filtering 70-90% of logs before they reach expensive storage. With just 15 employees, they've reached $2M ARR by solving a problem that costs enterprises millions annually.
AI-Native Architecture
Unlike legacy SOAR platforms bolted onto older infrastructure, Realm is built from the ground up as an AI-native pipeline. Their platform uses machine learning to classify, normalize, and route security data in real-time, adapting to new log formats without manual parsing rules. This matters because threat actors evolve faster than rule-based systems can adapt. The 23 technologies in their stack—from Backbone.js to Tailwind CSS—reveal a pragmatic approach: ship fast, iterate quickly, and let the data pipeline do the heavy lifting.
The market timing is critical. With Splunk and legacy SIEMs facing pricing pressure, and cloud-native security exploding, Realm sits at the intersection of cost optimization and detection efficacy. Their 4,423 monthly visits might seem modest, but with 39% organic search traffic and a #4M global rank, they're targeting a specific, high-value niche: security engineers who are tired of paying for noise.
- Edge filtering reduces SIEM costs by 70-90% before data ingestion
- AI-driven normalization eliminates manual parsing for new log sources
- Built for cloud-native environments where traditional SIEMs struggle
- Founders include Jeff Kraemer (CTO) and Jeff Williams (Head UX) from the security engineering trenches
The Future is Filtered
Realm proves that in security, less data is more security—and more profitable.
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Realm.Security | AI-Native Security Data Pipeline Platform
Realm.Security’s Security Data Pipeline Platform helps security teams control, filter, and normalize logs to cut SIEM costs, streamline detection, and boost ROI. Discover why modern SecOps choose Realm.
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About realm.security
Realm.Security’s Security Data Pipeline Platform helps security teams control, filter, and normalize logs to cut SIEM costs, streamline detection, and boost ROI. Discover why modern SecOps choose Realm.
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realm.security uses 23 technologies across their website including YouTube Embed, Font Awesome, Google Fonts, PHP, and more.
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realm.security receives approximately 4.4K monthly visitors and ranks #4,178,195 globally. The website has a bounce rate of 42% with visitors viewing an average of 1.6 pages per visit. Users spend an average of 0:24 on the site.
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