As enterprises battle unsustainable SIEM costs and overwhelming log volumes, Realm’s AI-native pipeline platform sets a new deployment benchmark: deploy in days, cut data volumes by up to 83%, and save millions.
Realm.Security, the company pioneering an AI-native Security Data Pipeline Platform (SDPP), announced a $15 million Series A funding round led by Jump Capital, with participation from Glasswing Ventures and Accomplice. The financing will accelerate product development and market expansion as enterprises face a mounting crisis: security operations teams drowning in data noise and spiraling security information and event management (SIEM) costs.
“Security data has become one of the most expensive and complex problems in enterprise IT,” said Pete Martin, CEO of Realm.Security. “Realm exists to solve that problem at the root. By building the industry’s first AI-native Security Data Pipeline, we’re giving CISOs and SOCs clean, structured data they can trust that is fast, efficient, and radically more cost-effective.”
The Data Crisis in Security
Security Operations Centers (SOCs) process billions of daily events. Legacy pipelines simply shuttle raw data logs between tools, leaving analysts buried in irrelevant telemetry and budgets consumed by SIEM ingestion costs. According to the 2025 SANS SOC Survey, 42% of SOCs dump all incoming data into a SIEM, often without a retrieval or management plan. This practice drives up costs and leaves teams without a clear path to manage or analyze the data. Chief Information Security Officers (CISOs) face an impossible tradeoff: pay more, or see their teams overwhelmed.
Realm.Security changes this dynamic. The platform embeds artificial intelligence throughout the pipeline, applying real-time analysis and filtering so SOCs only digest the data that matters. The result is faster investigation, lower costs, and more resilient security operations.
Measurable Results in Days
Enterprises using Realm.Security are seeing immediate, quantifiable impact. Deployment times across the enterprise average just seven days, compared to months with legacy solutions.
Vensure Employer Solutions, a 10,000-person benefits and payroll provider, cut firewall log volumes by 83%, saving $250,000 annually.
“Realm’s Data Filtering module (Realm Focus) allows us to remove data that would never be needed for detection or investigation,” said Dwayne Smith, Senior Vice President of Information Security and Global Chief Information Security Officer at Vensure Employer Solutions. “Realm saves us a significant amount of operational budget, which can be repurposed for other strategic priorities. It’s a game-changer for budget-constrained security teams.”
Realm automatically adapts to changing security tools and data sources, eliminating the need for costly professional services that traditional pipeline implementations require. Being AI-native, Realm replaces the need for manual rule-writing and constant reconfiguration by security teams. Leveraging Machine Learning and Large Language Models, which understand security context, Realm automates filtering rule creation, configuration, routing decisions, and much more. As tools, data, and threats evolve, Realm evolves with them. This eliminates the need for professional services and keeps SOCs focused on defense rather than data plumbing.
“Realm.Security is helping us run a more efficient SOC,” added Aaron Weismann, Chief Information Security Officer of Main Line Health. “It provides trustworthy data we can depend on, which lowers the overhead of managing data and creates more space for our team to focus on advancing our security posture.”
Investor Confidence in a New Category
“Realm’s AI-native approach sets a new benchmark: fast deployment, measurable savings, and a roadmap toward enabling the next generation of AI-driven SOC operations,” said Saaya Pal, Partner at Jump Capital. “We see Realm becoming the trusted foundation for how enterprises manage their security data.”
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