Empirical Security Raises $25 Million in Series A Funding
Cybersecurity startup Empirical secured $25 million in Series A funding to bolster its AI-powered threat prediction and risk management solutions. The company, founded by former Kenna Security executives, aims to address the growing challenges of defending against AI-driven cyberattacks and the increasing volume of vulnerabilities.
Cybersecurity startup Empirical has raised $25 million in a Series A funding round, bringing the company’s total investment to $37 million. The funding will be used to accelerate the development of Empirical’s two core products: Foundation, a global cybersecurity model that monitors over 18,000 exploited CVEs for threat prediction, and Radiant, a predictive engine that identifies threats relevant to each organization’s specific environment. Empirical was founded in 2024 and is based in Chicago.
The company’s solutions are designed to assist security teams in sectors like technology, healthcare, and financial services by providing transparent, data-driven insights. These insights enable organizations to measure and manage cyber risks more effectively, particularly in light of the evolving threat landscape and the rise of AI-driven attacks.
Empirical’s approach is rooted in the work of its founders, including Ed Bellis (formerly of Kenna Security), Michael Roytman (formerly Chief Data Scientist at Kenna), and Jay Jacobs (creator of the Exploit Prediction Scoring System - EPSS). The company’s technology is intended to move beyond traditional vulnerability management and offer predictive capabilities to proactively identify and mitigate risks.
Empirical’s solutions are intended to help security teams prioritize remediation efforts through deeper forecasting, evidence-based risk analysis, and actionable intelligence. The company’s technology is designed to address the challenges of defending against increasingly sophisticated AI-driven attacks and the expanding number of potential vulnerabilities.