Overview

Empirical Security builds AI-powered cybersecurity tools that tailor threat prioritization to each enterprise’s specific infrastructure. Its core product uses a dual-model architecture: global models trained on millions of daily exploitation events from internet-wide data, combined with local models trained on an organization’s own data, systems, and tech stack. This creates customized threat rankings that help security teams decide which vulnerabilities to fix first, reducing alert noise and focusing resources on the most serious risks. Unlike one-size-fits-all security tools, Empirical Security blends broad threat intelligence with organization-specific context to deliver evidence-based vulnerability prioritization. The company aims to improve vulnerability management for enterprises, enabling faster, more accurate risk decisions and stronger cyber defense.