Compare 2026 SIEM pricing for Splunk, Microsoft Sentinel, Sumo Logic, CrowdStrike NG-SIEM & Cortex XSIAM. See real rates and how to cut SIEM costs 40%+.
In Episode 2 of The Cyber Roundtable: Security Evolutions, host John Greene sits down with cybersecurity leader Paul Drapeau.
Realm.Security launches Data Enrichments and Privacy Guard — injecting real-time threat context into security pipelines and automating PII redaction to keep SOC teams faster, leaner, and compliance-ready.
The SOC is changing faster than you realize. Discover the 3 data-based shifts defining the AI-native cybersecurity era: from upstream detection to AI-powered triage and enrichment.
Learn how to prevent 50% of detection failures caused by log delivery chain issues. Master persistent queuing, schema drift mitigation, and automated recovery for zero data loss SOC operations.
We are launching The Cyber Roundtable, a conversation series with the cybersecurity leaders who have shaped this industry. In Episode 1 with Realm Co-Founder Jeff Kraemer, we explore the parallels between the fear and loathing of the early cloud era and the current AI wave, and why the future of security operations belongs to automated solutions, not complex toolkits.
In this blog, we show how Realm Data Haven fixes SIEM log archiving pain. Get zero-touch, long-term security data storage with fast IOC and observable resupply for SOC teams.
In this blog, we show union-type structured output allows AI agents to handle uncertain outcomes, critical for auditable and accurate vulnerability triage.
Realm.Security, the company pioneering the industry’s first AI-native Security Data Pipeline Platform (SDPP), announced a $2M strategic investment from Presidio Ventures, the corporate venture arm of Japanese-headquartered Sumitomo Corporation.
We’re excited to share that Realm Security has raised a $15M Series A, just 12 months after our $5M seed round. We wouldn’t be here without our customers, our team, and our partners. Thank you for believing in what we’re building and for pushing us to make security data smarter, faster, and more useful every day.
Realm.Security, the company pioneering an AI-native Security Data Pipeline Platform (SDPP), today announced a $15 million Series A funding round led by Jump Capital, with participation from Glasswing Ventures and Accomplice.
SIEMs have become expensive archives storing years of logs at premium prices, with only 35% of data delivering real threat detection value. Learn how separating real-time security from long-term retention can cut costs while improving investigation speed and compliance.
In this video, we’ve taken a publicly available Cribl onboarding tutorial and compared it step-by-step with Realm.Security’s onboarding process. The results speak for themselves: Realm.Security is 6 times faster when setting up sources and destinations than Cribl.
Realm.Security joins the Google Cloud Partner Advantage program to deliver AI-powered security data pipelines that cut SIEM costs, streamline log management, and improve SOC efficiency for Google Cloud customers.
In this blog, you’ll learn why legacy pipelines fail modern SOC needs, how AI-native pipelines cut manual work, and how security teams gain cost savings, resilience, and faster threat response with adaptive, context-aware data management.
In this blog, you’ll learn how to add a source, route data to your destinations, and apply AI-recommended filtering rules in clicks, giving your team faster visibility and measurable cost savings.
In this blog, we show how to make AI agents fully observable with the Model Context Protocol (MCP). You’ll learn how to build a Phishing Triage Assistant with structured logging, stream rich telemetry into your SIEM and SOAR, and turn AI from a black box into a monitored, auditable asset.
Control SIEM costs and boost threat detection with Realm Focus’s AI-Powered Filtering Rules. This solution intelligently removes up to 80% of low-value log data without sacrificing security, freeing budget, and improving alerts. Automate log reduction and optimize security operations with explainable AI and human-in-the-loop control.
