Cybersecurity startup Empirical Security has raised $25 million in a Series A funding round, bringing its total funding to $37 million. The round was led by Brightmind Partners, with participation from Costanoa Ventures, Hyde Park Angels, and others. Founded in 2024 and based in Chicago, Empirical aims to help organizations predict and identify threats in the age of agentic AI.
What Happened: A Predictive Engine for the AI Threat Landscape
Empirical offers two flagship 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 environment. The AI-enhanced models are designed to cut through background noise and deliver actionable intelligence for security teams, particularly in technology, healthcare, and financial services. The new funding will accelerate development of these products.
The company was co-founded by CEO Ed Bellis, CTO Michael Roytman, and Chief Data Scientist Jay Jacobs, all veterans of Kenna Security, where they pioneered risk-based vulnerability management. Bellis noted that defending against AI-driven threats requires a fundamentally new approach beyond traditional vulnerability management.
Why It Matters: Beyond Traditional Vulnerability Management
Empirical’s approach represents a shift from reactive vulnerability scanning to proactive threat prediction. As AI-powered attacks become more sophisticated, organizations need to prioritize which vulnerabilities are most likely to be exploited. Empirical’s models provide evidence-based risk analysis and deeper forecasting, enabling security teams to focus resources on the most critical risks. This is especially crucial as agentic AI expands the attack surface.
Our Interpretation: A New Paradigm of Predictive Security
XPLAIN AI interprets this funding as a signal that the cybersecurity industry is pivoting toward a predictive paradigm, akin to how quantitative models revolutionized risk management in finance. The involvement of Kenna Security alumni adds credibility, given their track record of building and selling a category-defining company (Kenna was acquired by Cisco). Empirical’s success could validate the market for AI-driven threat prediction and spur further investment in the space. However, it is still early, and the effectiveness of their models in real-world deployments remains to be proven.
Potential Beneficiaries and Risks
Based on the technology implications, the following inferences can be drawn, though they are speculative and not financial advice:
- Potential beneficiaries: Established cybersecurity platforms like CrowdStrike (CRWD) and Palo Alto Networks (PANW), which are already integrating AI into their offerings, could see increased market interest if predictive security gains traction. Microsoft (MSFT) may also benefit indirectly through its AI-enhanced security suite. However, Empirical itself is private, so direct stock impact is limited.
- Risk factors: Traditional vulnerability scanning companies such as Qualys (QLYS) and Tenable (TENB) could face disruption if predictive approaches replace conventional scanning. Additionally, competition from well-funded startups like Neo (which raised $100M) and Beacon Security ($13M) poses a threat. Regulatory changes or slower-than-expected enterprise adoption could also dampen growth.
Notably, Empirical’s founders previously sold Kenna Security to Cisco, suggesting a potential exit strategy via acquisition. If Empirical gains traction, larger players like CrowdStrike or Palo Alto Networks might consider acquiring it.
Contrarian Scenario and Uncertainties
Success is not guaranteed. The accuracy of Empirical’s predictive models in real-world conditions is unproven, and enterprise sales cycles can be lengthy. Increased regulation of AI-based security tools could slow market adoption. Moreover, rivals like Neo and Beacon are developing similar technologies, intensifying competition for market share.
Key Metrics to Watch
Investors should monitor: (1) customer count and retention rates, especially in target verticals; (2) model accuracy—how often predicted exploits match actual incidents; (3) additional funding rounds or acquisition news; and (4) competitive product launches. Positive signals in these areas would indicate growing market validation for predictive security.
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Sources
- Empirical Security Raises $25 Million in Series A Funding — SecurityWeek · News coverage · Tue, 21 Jul 2026 12:47:18 +0000
Written by: XPLAIN AI Editorial Team · Reviewed by: XPLAIN AI Editorial Desk
This content was drafted with AI assistance based on publicly available sources and reviewed under XPLAIN AI's editorial standards.