Empirical Security Secures $25 Million Series A Funding for AI Cybersecurity Solutions

Funding Details

Empirical Security, a Chicago-based cybersecurity startup, secured $25 million in a Series A funding round. This investment was led by Brightmind Partners, with backing from Costanoa Ventures, Hyde Park Angels, and others. This round pushes the total funding for the company to $37 million.

Product Overview

The startup's two flagship products are Foundation and Radiant. Foundation is a global cybersecurity model that observes over 18,000 exploited CVEs for threat prediction. Radiant is a predictive engine designed to identify threats specific to each organization's environment. These solutions aim to deliver data-driven insights for managing cyber risks.

AI-Enhanced Predictive Capabilities

Empirical’s models leverage AI to prioritize remediation efforts through deeper forecasting and evidence-based risk analysis. The company emphasizes providing transparent insights, particularly beneficial for security teams in technology, healthcare, and financial service sectors.

Founders' Background

Empirical was co-founded by Ed Bellis, previously of Kenna Security, along with CTO Michael Roytman and Chief Data Scientist Jay Jacobs, who contributed to creating the Exploit Prediction Scoring System (EPSS). Bellis highlighted the need for a new approach to defend against AI-driven threats, reflecting on their past experiences in vulnerability management.

Industry Context

This funding round occurs alongside other significant investments in cybersecurity and AI, indicating a growing focus on enhanced security solutions in the face of increasing cyber threats. As attacks become more sophisticated, predictive AI capabilities are positioned to play a crucial role in future cybersecurity strategies.