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Empirical Security Secures $25M for AI-Driven Exploit Prediction Tools

Empirical Security Secures $25M for AI-Driven Exploit Prediction Tools

First seen 21 Jul 2026, 17:12 UTC

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ThreatCluster AI
ThreatCluster July 22, 2026 at 15:27 UTC
  • Empirical Security raised $25 million to develop AI-driven exploit prediction tools.
  • The company offers two products: Foundation for global CVE monitoring and Radiant for tailored predictions.
  • The founders previously established Kenna Security, enhancing credibility in the exposure management market.

Empirical Security, a Chicago-based startup, raised $25 million in Series A funding to enhance its predictive models for identifying vulnerabilities likely to be exploited by hackers. The funding round, led by Brightmind Partners, brings the company's total funding to $37 million. The firm offers two products: Foundation, which monitors over 18,000 CVEs globally, and Radiant, a tailored model for individual organizations. The founders, Ed Bellis and Michael Roytman, previously established Kenna Security, known for risk-based vulnerability management. The new models aim to address the growing backlog of vulnerabilities exacerbated by the rapid pace of AI-driven attacks. While the market for exposure management is competitive, Empirical's focus on organization-specific predictions sets it apart. However, independent performance validation is still pending.

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Timeline

2026-07-21
Empirical Security raises $25M in Series A funding
The funding round led by Brightmind Partners aims to enhance predictive models for vulnerability exploitation.
Thenextweb
2026-07-21
Launch of Foundation and Radiant products
Foundation tracks over 18,000 CVEs globally, while Radiant customizes predictions for individual organizations.
Aiweekly.Co

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