Realm Security provides a modular security data pipeline that lets security teams control log collection, filtering, and routing without a dedicated engineering staff. Its ML‑driven filtering (Realm Focus) cuts low‑signal telemetry by 80%+, while Realm Unity normalizes log formats and other modules handle privacy redaction and compliant archiving, all in a vendor‑agnostic, click‑to‑deploy solution.
Funding
$22M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
AVJCFounders
Product
Problem
Security teams often struggle with overwhelming volumes of log data, inconsistent formats, and the need for costly engineering effort to collect, filter, and route telemetry, which hampers detection and response while inflating SIEM expenses.
Solution
Realm.Security offers a modular security data pipeline that gives teams direct control over log collection, filtering, and routing without requiring a dedicated engineering staff. Its ML‑powered filtering module (Realm Focus) removes low‑signal data to cut log volume and reduce storage costs. Realm Unity normalizes disparate log formats, simplifying detection rule development and lowering operational complexity. Privacy Guard identifies and redacts sensitive information to support compliance, and Data Haven provides managed, compliance‑ready archiving with no infrastructure overhead. The platform is vendor‑agnostic, allowing organizations to switch or consolidate security tools without disrupting pipelines, thereby improving detection fidelity and maximizing security budget efficiency.
Target Audience
Primary customers are security operations teams, SOC analysts, and IT security managers in mid‑size to large enterprises that need to manage high‑volume telemetry while controlling costs and maintaining compliance.
Features
- ML‑driven log reduction that can eliminate 80%+ of low‑signal telemetry
- Modular architecture enabling selective deployment of filtering, normalization, privacy, and archiving components
- Vendor‑agnostic data normalization to unify log formats across multiple security products
- Automated sensitive data detection and redaction for compliance with privacy regulations
- Managed, zero‑infrastructure archiving service that stores data in a compliance‑ready repository
- Click‑to‑deploy routing configuration that requires no custom engineering effort